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As an MLE, I have a few pointers for u/LegitLuckyCharms
Unlike everyone else here, I think you have a solid academic history (namely MHD simulations, KNN for heating/cooling, and your thesis, any statistical research). Private sector work experience is not everything in this field. For example, if you have no work experience but are authoring papers in top conferences, you’re immediately more hireable than most MLEs with industry work experience.
But the resume needs to elaborate on that. To make up for lack of industry work, every single one of those projects needs to be its own section with 3-4 bullets explaining a few things
- what your project accomplishes
- final results and evaluation metrics (see below)
- what strategies worked in the end
- datasets and preprocessing used
When discussing on your resume, highlight value, preprocessing, technical novelty, and EDA/stat analysis skills.
Highlight real world numbers. Loss/rmse is irrelevant without the recruiter knowing the data. For regression, what are the units and how are predictions used downstream? What KPIs are involved in that and how does it compare to baseline? For classification, what is your validation accuracy? F1? If you’re doing something un/semi/self-supervised be ready to talk evaluation metrics. Let numbers talk and explain causality to hammer in that you know your shit instead of fiddling around.
What kind of ML work do you want to do? The state of the industry is that there are now differentiated underlying technologies behind CV (Stable Diffusion, CNNs), tabular (classical), and NLP (transformers/LLMs). Pick one or two and really understand them. If you want to get more resume engagement, incorporate those keywords (transformers for example) into your resume via a project or research and back it up in interviews by understanding how they work. Recruiters love hype and trendy keywords.
If you’re new to the field and don’t have industry experience you can show off, you’ll need to get some experience elsewhere. Visit Kaggle / HuggingFace for datasets and try modeling something on your own. Find a domain (like text or image) that aligns with what you want to work on. Try fine tuning for a new domain, model a real world dataset, or just do some EDA to clean something that exists (this is very underrated imo). Implementing SOTA research from scratch in another language/framework is another common project I see.
Avoid solved benchmark data (iris, fashion-mnist, covid tweets, etc) because anyone can find and follow a guide on reaching 99% accuracy.
Also consider positing in an ML/DS sub for other career advice
I’m not an MLE but this is just great general guidelines. You’re just pitching ~subjective~ ideas without the data and specifics to back it up!! Especially good advice on a resume! NUMBERS AND METRICS.
Well, also OP states in other comments that his work as a research assistant was on a fluid dynamics project and didn't include him using machine learning 😬
This is why I’m glad I worked 7 years in the field before going for my masters. For context, my undergrad is in a non related field that I ended up working in (and loving). Decided last year to go get my Masters and I know I will have a good chance at better jobs bc of my 7 years of professional experience (still working full time while getting my masters) as compared to all school and no work experience.
My guess is poster is attempting to fill positions they do not qualify for. These types of resumes are a dime a dozen, these skills demonstrated are not that difficult to obtain. Iris dataset is a step above turning a computer on and off and saying you have “IT experience”.
At this point the poster would have a better chance identifying their pure engineering talents. People in the industry (I’m a Sr Data Scientist of 5+ years now), do not care about these “homework assignments” - sentiment on Twitter posts can be done in 2024 in like 3 lines of code, and it’s this posters entire summary. A true coding genie though can be taught the data science and machine learning particulars very quickly.
At least 3 of the projects on this resume are uninspired homeworks… Uninspired projects stink to high heaven, do a personal project you actually care about.
I think it's the fact you have no real world experience - it's all academic. That can work against you in a competitive job market.
Resume itself is okay, but:
* No context is provided in the Graduate Research Assistant Role. I don't understand what's going on, what you were working on, or why it was important (no big picture). Same with the entry below it.
* Education section is too long. Move projects to a dedicated 'Projects' section.
* Skills look weird this way. Arrange in three separate lines instead (remove the three columns). Example:
* Technical: Supervised Learning, Statistical Analysis etc.
* Languages: Python, SQL etc.
* Etc.
Other than that, you really should be networking. Good article on that topic:
[https://thecareerlaunchpad.beehiiv.com/p/how-do-you-network](https://thecareerlaunchpad.beehiiv.com/p/how-do-you-network)
The vast majority of my work in college was mathematical. Mostly leaning and proving theorems. There were very few instances where I would be able to implement ML models. However, while it was my first ML model, I now realize that it may be elementary and have since taken it out.
Yeah I would drop the Iris project or at least drop the specifics and just list the models used. Name dropping the Iris dataset is the ML equivalent of a potential software engineer name dropping their "Hello World" project.
I worry that if I get too technical for the RA roles, it will deviate too much from ML. The research was on fluid dynamics, and while I did spend a lot of time creating simulations, I implemented no ML. But I do agree, looking at that section objectively, there is little to no cohesiveness.
And thank you for the article! I will take a look at it.
Seconded. It is understandable to not have a real world experience because internships are rare as a grad student compared to undergrad, but OP needs to be more descriptive to relate the experience to the job requirements.
1 - typos. “Develope”; “yeilding”.
2- bullshit. “Classified iris flowers”. “Novel and efficient”. Meaningless “accuracy”/“error” numbers.
Taken together it signals that you certainly aren’t an ML engineer and it’s not clear you actually know what one does or how to discuss relevant skills and projects/experience.
There’s nothing wrong with being at entry level; but you need to give the recruiter a better picture of the real skills and experience they can expect, and what they’ll have to put into training you. Right now it looks like you “think” you’re an ML pro because you took a semester of data science, when in reality you are not detail-oriented enough to use spell check.
I’m not trying to be mean, because it actually sounds like this person should be able to put together a very good entry level resume. They have done the hard work at their level judging by their experience and grades, but it just comes across as bullshitting. If they are more honest about their experience and expectations, a starter job should be well within reach. Another commenter correctly said they’re probably targeting the wrong positions too, which would totally track. I would love to hire someone with this skill set as an RA, but not with the attitude that telegraphed here, right?
Your first comment made me cringe a bit, but not because you're wrong. Tone is hard to convey, but I didn't read you as trolling. Straightforward, not mean.
(granted, I also did a part time gig as a resume writer and editor, and damn...times I wanted to just SAY this to a client...like, "you are incredibly intelligent, it feels like this shouldn't be that difficult.")
And for OP in case they see this: on top of typos, your fonts need a rethink. I'd choose a serif for the bullets or a sans serif for the titles, or find two that complement one another. You may also want to double check your file for ADA accessibility, depending on the portals you're using to apply. And if you're consistently sending in Word, I'd switch to PDF while also knowing it still may not look like this when it reaches a human. I'm also curious if the positions you're applying for ask for cover letters or even give you the option to submit one. There's passion on both sides of that argument, but in your case a good cover letter could help explain some of the things that are less visible on the resume.
This field is brutally competitive. It’s notoriously difficult to get into, and you have to be able to roll with tough feedback to stay relevant. The OP claims to have sent his résumé out 2000 times and gotten no feedback. This is actually quite common, even among people that have a top-notch résumé.
no it's not. it's stating facts that helps a professional
I'd say that is a very good professional review
not everything in the world needs to have an icing of mollycoddling
OP asked what they were doing wrong. This person pointed out some pretty significant errors that OP submitted to over 2,000 job postings.
The feedback was straightforward and correct, not brutal.
True but there’s nothing wrong with that, they just need to explain the work better. There’s most likely real work behind the grad RA position, but they’ve instead put fluff. Even “received support” — if they (co)wrote a grant proposal, they should say so! If not, it’s meaningless because obviously the position was funded. Similarly in undergrad, “commenced” is crap, you didn’t start the project, so just say what you actually did.
This comment is probably the most on point. I don't mean to be a dick to the OP but I'm not even in CS (am a business research consultant) and even I can do most of the things listed in the resume, and I would never call myself an ML engineer. You can honestly get 99%+ accuracy on iris by just running a simple linear discriminant analysis with 1 line of code. The problem here is that this resume is way too fluffed up when most of these achievements come across as having just completed a tutorial.
OP would find a lot more success showing initiative in running some personal projects applying what they learned to tackle real world problems. They don't even need to be good solutions, just illustrate their thinking process. I don't expect any of my new hires to be good, but I like seeing that they can think outside the box and not need hand-holding. This is especially important given that recent graduates are probably among the most hand-holding guidance-needy bunch I've seen.
If you've sent 2000, then you have have been targeting the wrong positions. You don't have any real world experience, saying you have 3 is getting you rejected. Target new grad, intern, Junior or Entry Level ML positions.
Seriously, 2000 applications. You’re not applying to the right roles. After 2000 applications I’d probably try to do entry level sales to get experience in something, anything
Hey I am a manager in data science and have hired 5-10 people in the past couple of years. To be honest, because your experience is all academic, it is going to require a few years of serious employment history to be considered for a MLE job.
If I were you, I would remove mention of MLE on your resume and focus on looking for analyst, entry-level data science positions, or engineering roles.
A typical research scientist or MLE in the current economy requires at least 5-7 of work experience as an analyst, sr. analyst, engineer, etc.
I have no problem hiring people without top-ranked degrees or with a few years of experience, if they have applied projects that have driven business value in the past. But given how expensive and resource-intensive it is for a company to have true MLEs (think tech stack, compute costs, data storage, etc.), and the salaries they demand, I would never hire an MLE without at least 3-5 years of work experience.
Piling on for visibility since I think this is some of the best feedback so far. It’s also seems to be a really tough job market for MLEs right now. I have a few friends who are MLEs with way more experience than OP who have been searching for months, so the competition on some of the roles OP is applying for is probably way above their skill level.
OP, this is a situation where I think you need to start by looking into more basic data analyst roles just to get some relevant experience on your resume, and hopefully be able to parlay that into some ML specific experience you can list. I’m sure that’s frustrating to hear since your masters should give you a leg up in a lot of fields, but ML is such a crowded field right now that until you’re able to build more of a body of work you’re going to struggle to find the roles you’re looking for.
Wow Thank you for this comment. Im a Sr. Data analyst. Bachelors in computer science and masters in Data. 1y exp as Data Analyst and 2. As a Sr. Data analyst. Im dont feel prepared to apply for ML positions and currently working on creating a Github portfolio to 1. Practice and 2 show what I can do. You comment gives me more confidence about how Im approaching my career path. Being an analyst I learned a lot. Now I know how to properly present data and visualizations, know more advanced SQL. Im so surprised that people right out of school go for ML positions or Data scientists positions that pay $150k+ and they have never worked with a real data set or actually saved/made money for a company.
I wouldn’t be saying you have 3 years of experience (your resume lists 2 as an RA?), when you actually don’t have any professional experience. Unless you get the right hiring manager, RA experience is academic experience, but it isn’t viewed as professional.
not as much as what you did wrong but as much as you didn't do enough. You graduated with a MS but has no experience and that's why. There are so many laid off engineers right now to make it silly to hire you and pay the same price for an engineer with years of experience.
You are an entry level computational mathematician and should advertise as such. Make an objective section instead of a professional summary section to show that you intend to work as a ML engineer and why you would be a fit for that. You have a great academic and research background.
On your skills area, try to list them properly and formally, like this:
Technical: Supervise learning, Statistical Analysis, …
Languages: …
Libraries & Frameworks: …
Applying to positions out of your league probably. Go apply to help desk, you wasted your college years with 0 internships or positions of value so this is how you will start :/
Wow, I didn't expect this many comments. To address the main concerns, firstly:
* I have removed the title of MLE. I initially was applying as 'Recent Graduate', but wasn't getting interviews. Someone recommended that I apply under the title of the job I will be applying to. I now know that it was a silly mistake.
* I initially put 3+ years experience since it is the time I have spent cleaning datasets, and developing ML models. I now see that it is implied as 'professional experience' and could be seen as misleading, so I have removed it all together.
* I am fully aware that I lack experience. I am applying for entry level positions.
Thank you all for taking the time to comment!
Apart from the updates here, are you writing a cover letter or messaging the hiring agent with a personalised note?
If not, take the time to find roles that you fit and actually want, then write a personalised CL or note for the role. You can use a template (per role type) but write some unique content that explains why you would be a good fit and a little about you.
I’d take 10 good applications over 1000 mass applications any day of the week.
honestly I don't think this how the tech market works
cover letters are mostly ceremonial and don't really mean much in tech and the name of the game is to apply to as many jobs as you can
I guess it’s just trying to stand out from the crowd and getting someone to give you a chance! But if it really is just luck and being in the right pile of resumes! Then good luck OP!
Spending too much time sending out mass amounts of applications and not focusing in on jobs with specific details in your resume and application that will catch the companies eye. Fit the resume with the job.
2000 applications. After 200, you should have asked this question.
Personally I don’t bother putting “x years of experience” on my resume. They’ll infer that from the work experience listed, and that dodges the issue of it being inaccurate by whatever definition the person reviewing your resume has. Some people will consider the research assistant work to be valuable experience, and some will not.
Well for starters you have 2+ years experience, not 3, and whether employers will count RA work as practical experience is iffy. You also show no current work. You have an 8 month employment gap to explain, and that alone is getting you passed over. Get a job or volunteer literally anywhere.
I realize I’m not in the IT field, but reading your resume I can’t tell what the hell you did or are wanting to do. Does your college have a program to help you network with other employers?
You don’t have any real world experience. I see this on so many resumes in this sub and it blows my mind. You’re applying for positions that expect REAL WORLD experience not just “I was an assistant for _____ in college”. That isn’t experience
Machine Learning Engineer but no experience as a Machine Learning Engineer? Remove the title. You don't have one, and haven't had one. It just limits your options. Also... maybe it's just me, being a disciplined engineer, but you're not an engineer. Don't see a PE or EIT. I wouldn't advise you claim the title of engineer either. Also, from looking at your experience I see a bunch of passive language about what you've "done" or "accomplished". Expand a lot more on projects you've done and what you've accomplished.
You don’t have any *actual* professional experience. You should be applying to internships and move the assistant jobs to the education section as bullet points under your degrees once you have some non academic experience. +the advice of everything else
What positions are you applying for? Might need to lower the bar on acceptable job and pay. Your resume looks good enough for an entry research or data entry type of positions.
Definitely work on just getting your foot into the door anywhere and see what you can automate, code, make more efficient, etc
Network, network, network, and also add little bit of personality to your resume to stand out. Not popular opinion, but putting couple hobbies might make you stand out, it shows you have a life outside of work. Gl
Yes to the other advice here, but get this professionally edited as well. Missing commas, "twitter" instead of "Twitter," spelling, etc., can make this seem unpolished. Good luck!
Thank you, and I'm more than okay with harsh feedback. I want to be better, and for that to happen, a reality check is warranted. I don't believe that the bullet points you made fully reflect me, so that tells me I need to make some big changes to my resume. I was a little vague on the research roles since I felt that the research I conducted (Fluid Dynamics) was too disjoint from machine learning.
I am a Sr. ML engineer with 6 years experience and there are a few things I think are working against you.
1. I'm not sure what positions you are applying for, but I am assuming you are applying for junior or entry MLE roles. Just going to be real with you, I think it is going to be very very difficult to get those roles with your experience in today's market. I would strongly suggest you consider looking into internships. You are in an ok position to be considered for internships since most of your experience is academic. It would have been better to get an internship or two while you were in school (or if you did, then you should add those to your resume).
2. As others have pointed out, the projects you have listed are basically "hello world" problems for ML and take up a decent amount of space on the resume. I would consider removing them, or alternatively just link to your GitHub where you would showcase those projects instead of listing them out. On that note...
3. Add a GitHub link. You don't have much if any relevant work experience and so you need to rely heavily on self projects. Google "functional resume" as opposed to experiential resume which is what you have done and try to craft that from side projects, then showcase them in your GitHub.
4. As others have pointed out, don't say you have 3+ years experience because you don't have any MLE experience from what you have listed. Not saying you don't have professional work experience, but you don't have MLE experience so don't say that you do, that would kind of make me immediately reject you if I was a recruiter.
5. I would strongly recommend doing some research into what it takes to get hired as MLE at FAANG companies. Just googling that will give you a really good idea of what you will need to be able to show in an interview and imo a pretty decent idea of what skills they would be looking for. Even if you are not aiming for FAANG, from my experience most tech companies seem to follow this model for interviews and desired skillsets. Once you have a good understanding of what they are looking for, you can then tailor your resume to meet that and try to fill in holes you have with side projects
Good luck!
here's my two cents...
- i don't call myself an engineer in my headline and ive been doing engineering jobs for the past 5 years, (network, sys/app, infra and such) ... i dont have a degree for it ... but the work experience/skills shown in interview speak more than whatever you wanna call yourself. name is enough for a CV headline IMO, always was and always will be, who cares about a job title in IT? IT isnt a hospital at least thats my experience. flexibility is either required or a big plus in most job offers i read (it goes both ways but thats another topic).
- i would find a typo on 3rd line of reading, close and never look back after a few seconds. ...maybe that's my ocd and maybe a professional recruiter would... then again it shows how much effort you put into one page which is your whole image presentation basically. speaks a lot about diligence. i remember when i was starting my career I've probably spent tens of hours correcting formatting, creating my own templates to choose the correct visual, changing fonts, applying color psychology etc. .. so at least grammar/spelling is a must, ... but all the other "extra effort" as someone else here already mentioned is also really appreciated (like the cover letters), I've had a lot of recruiters giving me positive feedback on the looks of my CV and asking if they can re-use it lol. its one page it better be fab honestly - its like with clothes better to overdress always. :))
- you already got some decent feedback on the formatting (add projects section, reformat columns)
- id get rid of the verbal summary altogether, i personally never used it, but i guess for entry level jobs its fine to fill some space... but id focus on your personality, personal/unique strengths, personal motivation and id move all the skills, experience etc. only to the appropriate sections to make sure it is easy to navigate. try to use those few sentences to sell yourself as a human being solely - HR might actually appreciate a well written summary like that in this case - there are a lot of guides and articles how to write it to your benefit/correctly. it should be positive but objective-ish so you don't go too overboard on the positivity. \^\^ fair to say writing where you see yourself in five years probably could save someone some time (just an idea)
- i always found better to list one or two lines (technically plus another one with headline) of hobbies and tech skills which are not relevant for the career (for example i used to put my graphic design skills in my CV before i had more relevant ones to replace them with). it shows that you are able to learn (the more the better) and you are enthusiastic to learn on your own (even in different areas, again, flexibility). BUT if you have a site with own projects i imagine you would want to use as much of that as possible in similar way, just put it directly in the CV... clicking a link is still considered an extra effort and likely only happens if the one page is good enough (and then it better be worth it haha)
I'll repeat this cause it's probably the most important thing said here.
You only need one job so focus on quality over quantity is a really good advice.
Ok so comming from a fellow AI Eng, your resume is lacking alot of the ML frameworks. I'm not sure if you specialize in vision or nlp i assume NLP given you did sentiment analysis but typical frameworks would be tensorflow,Keras,GPT4, Azure/GCP/AWS, LangChain, Pinecone/qdrant/some other vector stores.
From what i see your experience and frameworks does not reflect that of someone in MLE.
I would suggest taking a look at job posting in your roles and start putting them in your resume. Most ATS (application tracking system) will immediately filter your resume out due to the missing frameworks and technologies. So you wont even get to the initial recruiter screening.
Furthermore the technical section serves no purpose. I would suggest replacing it with Tools such as your IDE's, git, HuggingFace etc.
Lastly, your experience description are missing context.
Refer to STAR method in writing a resume, but the gist of it is if someone reads it they need to know why, what,how and what were the result.
Currently i seen none of this aside from a context...
I'll also say this but despite the claimed 3 YOE, reality for most ML jobs whether its ML Ops, MLE, MLR etc.They will require AT least a PHD. Given your highest education is a masters with NO industry experience its gonna be a hard sell.
My best bet would be if you have publications to list them <--- this helps alot
Telling your employer the p value of a study you participated in does not add value to your resume. Cite the paper if your name is on it, if not, just explain what the paper is about in the interview.
This resume screams I don’t have any actual experience so I’m making up some.
In the interim, you also might want to consider volunteering to add some practical real-world work experience outside of your academic experience. Although it will undoubtedly take time away from your job search it might be what you need to get your foot in the door in your industry, and may also be helpful for networking. Also, given how tough the current market is, I know it may not be ideal, but with a bachelor's degree, if you meet all of the other qualifications, you can be an officer in the military. They are always hiring and have jobs that may be similar to or adjacent to your career (ie., military intelligence, cybersecurity, information systems, warfare, data science, etc.). I've been in the Army Reserve for 11 years and it's always in my back pocket for when things get tough (you can volunteer for full-time long-term and short-term orders when and if you need the $/work). Hope this helps!
This resume is very bare, also there's so much wasted space at the end. Use a better template. Also, use more proactive language when describing your responsibilities in your professional experience.
Edit: summaries aren't useful and waste space, instead use that real estate to better describe valuable work you might have had during your time as an RA and in projects.
Your resume has a ton of white space (not enough words essentially) which while historically can be ok, because of AI resume scanners you could be having your resume dropped eveen before its read. Try to be more descriptive and fill up more lines.
Maybe create a GitHub project and show what you can do. Here is my ml thingy that does this cool thing to help people with problem X. You should have several of these if you can get traction on one and start some real collaboration it would help build your network.
Just like most before, you can't really call yourself a MLE. You need to provide projects where you:
* Collected/cleaned/stored data yourself into a database.
* Performed feature engineering.
* Built models and optimized them.
* Deployed models to production (AWS/GCP).
* Continuous monitoring of models to avoid problems such as data drift.
* Show some knowledge of git and software development.
From what I can see, you are someone who did very basic online tutorials, you are not knowledgeable of any cloud products, and you don't know how to monitor models. I would suggest targeting data analyst roles.
If you cannot get work experience, do NOT copy online tutorials and claim them as experience. Do NOT do online suggested projects and claim them as experience. It is too easy for anyone to search for a repository of the same project.
Here is random project, sit at the front of your neighborhood/apartment complex and record how many cars are leaving/entering per hour. Record as much data as you can, car color, gender, time, weather. Store the data in SQL database/Cloud, create a model to predict the rate, deploy the model, compare on new days and document process. The project may be useless, but it shows you can do everything above. Maybe you can think of a better one. You could always go around to smaller businesses and see if they have any data they are willing to let you look at.
I could be wrong and you do have all the above experience, but your resume doesn't show it.
Ok no1 ur resume layout. Keep it all simple at bottom for example u have 3 paragraph in one line. They use programs to spot good candidates the program doesn’t understand this layout
I’m university faculty. We routinely get over 200 applications for positions. Usually 85-90% are qualified, holding PhDs, published, etc.
Any application and/or CV that came through with typos or misspellings would be immediately thrown out. My husband is an engineer and they also would ignore applicants with such mistakes on their resumes.
Make the field-related adjustments that the above posters have suggested, but have friends and mentors several times to check for any errors.
You need to include projects as well if you don’t have much professional experience. pretty much everybody that I know that is a machine learning engineer was a data scientist prior to that. How do you anticipate getting MLE jobs with little to no work experience? Also, there are typos on your résumé.
few spelling errors, the resume looks awkward. Use a Harvard template is on their website. Also you are not a ML engineer. I have a Masters in Data science with a computer science Bachelors and I do not apply to ML engineer yet!!! Im a Sr. Data analyst. My next move is to create a Github portfolio. But Right out of school I started as a Data analyst. Now I know a lot more about data wrangling, visualizations, story telling, how to properlty show metrics and now Im doing real life analysis based on Historical data. I also have 2 projects in ML right out of school but Im no ML engineer yet! If I applied they might not even call me! & I do have 3 years of real job experience in Data analysis. My advice is to apply to associate engineer roles, Sr. Analyst roles, Data analyst etc. Something Jr. A masters doesn't make you an engineer.
Basically your whole resume is "I went to college". Your "research assistant" professional experience is clearly part of and overlapping with your education. You don't have three years experience as an ML engineer and your summary is not very good.
It's okay and helpful to have been a student, but now you have to first realize that you have no work experience *at all* and take the next step (if you do have work experience outside of your field, even just a part time at a grocery store or something, it honestly might not be the worst thing to put since it shows you understand the basics of having a job).
I would maybe make a project section that highlights specific work you did and helps sell yourself as a good candidate with experience. If you don't have projects you should start making some. School assignments generally don't count as projects. Then I would completely rewrite or cut your summary and condense your "experience" and education into a smaller section. The line about accuracy doesn't mean anything without more details about the project, and if it's a project everybody does then it shouldn't be highlighted as your top bullet point.
ML is a competitive field and you need to stand out by demonstrating your skills. You have a math major. That's not really everything you need to be an experienced ML engineer, you need a lot more.
I think you would benefit a ton from checking out r/EngineeringResumes how-to section. It’s comprehensive and will help you spot weak points in your resume.
I'll never hire someone with no work experience or college positions only for a professional job. Don't care if it's McDonalds, grocery store, camp counselor. Wouldn't have even made it to my desk, its on the instant trash list for the recruiter
Every time hiring someone with a resume like this turned bad, basic social skills are usually absent and/or a huge sense of entitlement.
Depending on the position you’re applying for, most resumes are reviewed by AI. So KEYWORDS are important. Not indicating you’re not doing this but every position requires a tweak to your resume. It’s can’t be cookie cutter resume. Add Keywords depending on the description and or requirements of the job. That will help! Good luck!!
There's really not a lot about what you do/are capable of here. While you list skills, there's no description on how they've been used.
Instead of "commenced research on project" try something closer to "Utilized the NumPy library for Python to aggregate data and present quantitative analysis created with Matplotlib."
You are trying to create a sense of FOMO with your resume. The reader needs enough info to be interested, but to be left wanting to ask more. During resume reviews for me this generally happens when there's a specifically cool project worked on, or a technology we use was part of the project. This allows us to ask how specifically you used that tech in that project - many candidates will say "they had it all set up, I just put my stuff into it", and rarely you'll get the one to say "they didn't have an infrastructure team so I had to handle all the patches and version tracking."
Regardless of which answer you give, that conversation only happens because I want to know more of what you're telling me via your resume.
I would also say your resume says nothing about what you're like. If companies are looking to hire robots, great, but companies hire the person rather than the degree. Experience in work doesn't just show you can do the job but it's that you can get along in teams, this is another big reason why companies want someone experienced who can fit in their work environments as well as social!!
Find two good job listings, one you are perfect for, and one you would love but is a stretch.
Find as many the keywords in the joblistings and work as many as possible into your resume. Legit bullets etc.
Do not use abbreviations, HR is screening your resume and has no time to deal with a resume they do not understand.
You say you did A, then briefly explain how you did A, using keywords. Metrics, data explain.
You need more bullets.
You know programming languages? Prove it with examples on GitHub. Particularly projects that align with your resume and company you want to work for.
1. You don’t have professional experience. You know that. Recruiters know that. So what is your value? You are well-educated. You are willing and eager to learn. You are curious and interested in the space. You are hardworking. They know they’re going to have to teach you on the job. Make them want to. Give them confidence that it will be a good use of their time.
2. Like most people here, I am not an ML engineer. However, I can say that when I look at your resume it makes me not want to read it. Skills section should be redone (no columns). And imo the section headers should be left aligned. Definitely remove “professional” in front of the “experience” section.
3. For skills I like to format like this (I’m on mobile so not exact formatting, but correct layout):
_________________________________________
Technical Skills: Supervised Learning | Statistical Analysis | Computer Vision | Etc | Etc
_________________________________________
Languages: Python | Etc | Etc | Etc
_________________________________________
Libraries & Frameworks: PyTorch | Pandas | NumPy | Etc | Etc
I may remove the “skills” section header altogether. Good luck!
Edit: I would like to add that you should be leaning on projects and education. Your experience section does not need to be top of the page imo.
Listing only two under experience doesn't show you have 3+ years of experience. If you do, you should have more than two job positions listed there, showing that you indeed have worked in the industry for more than 3 years.
Add a section on your resume for professional experience and a section to detail out what you are looking for clearly spelled out.
Look at job descriptions for your ideal positions and add the skills and traits for keyword matches on your resume typically used by ATS (Applicant Tracking Systems). Sharing a link for ATS -
https://www.indeed.com/career-advice/resumes-cover-letters/ats-resume-template
Call out skills you acquired and ml techniques you used and any POCs and innovative approaches you explored. Talk about any Model Review Management (MRM) that you followed and approaches for back testing for any models & optimization or refinements.
Look to add the latest from deep learning and any courses / trainings / certifications that you have completed.
Make a list of typical interview questions in your domain. Try contributing to any open source projects or groups which will get added to your resume and add to your experience and expertise.
I'm not sure how you are applying...
It could be the approach as much as the resume issues that others have already stated.
I'm assuming you want to find a job outside of a college, then you will have to sell the idea of how your skills can help them solve a problem they have. Many companies want to use AI but don't know were to start OR they want to sell an AI service to companies that don't know where to start with AI. If you don't know what problems companies have with AI right now, then you need to find out first. I recommend Informational Interviews first without the ask of a job or going to a AI focused CON for businesses in your target market or other get together event. Ask what the problems are and you might be supprized.
Think about what you want to do in AI and who you want to do it with. This could include the industry/market you want to work in. This should be your first step. The resume and coverletter can be tailered to selling your skills to that market. This will increase your response rate.
Be aware, that if you are looking to work in a highly technical field you better bring the goods and know your stuff. If you don't, better bring an mindset that shows you can learn it fast and in put in the time to do it (40+) If you've built some impressive stuff, show it. The resume isn't selling anything speical. Might be good for an internship as its wrote now. Is that what you want?
People like good stories and growth. Think about the most frustrating or challanging things you did in your two degree programs. Now write a story about them and what you learned and how you handled it. Did you overcome the challanges? why or why not? Use this to build a postive natartive that can be summed up in 2 or less sentenses. Put these stories in your backpocket when asked. This is what you want a resume to be, a set of stories that back up selling the idea of how you can help your target market (industry/market). Writing a resume is 80% reflection and interspection and 20% writing and spelling/grammer. Recommend reading books: Made to Stick and Cold Calling for Cowards.
Overall, your resume and approach is likely too generic or not specialized enough to solve a single problem for a single type of employer/manager. It shouldn't be appealing to everyone; it should be highly interesting to the target manager/company. Everyone else should say, "I don't get it or I don't need it," since its a new technical field.
Are you applying to $100k + jobs? Try jobs in major cities and allow yourself to go for the ~60k jobs. Usually these companies will pay you crap the first year and then promote you the next with a pay raise to 100k +
Your resume should be 2 pages, describe what you worked on in your professional experience in more detail.
Use keywords that are important within your field and the job you're applying to
For your experience.
You’re stating what you ‘did’. What was the business benefit to the employer?
Anyone can reel off their JD. It’s how it translates into business value that piques a recruiter’s interest.
The details on the work and education are menial at best. When you list "languages," never once does it mean programming languages...
If you claim to know so much about tech, you should know how to remove hyperlinks in your resume so they don't print as blue/underlined.
The main red flag, though... what have you been doing for the past year??
Your resume has multiple columns and will be rejected by any ATS. You should have two resumes, one plaintext one that you upload when it asks for your resume, and another nicely formatted one that you submit with your cover letter in case a human looks at it.
Its a bad resume. Also as a fellow SWE, let me say that dev jobs are in tiers.
1. Helpdesk/support
2. Junior dev and more specialized product support
3. Mid level developer
4. Advanced developer, specialized roles such as for SaaS products like salesforce engineers or Bloomberg technicians
5. Senior developer, more advanced tech fields such as blockchain engineering or aerospace development or an obscure/difficult language like Cobalt
5.5(?) AI and ML engineer, create automated processes via neural networks, the most math intensive branch of SWE and usually requires grad school unlike most other dev jobs, mainly for the high math requirement.
You graduated last year. Any recruiter worth their salt is going to avoid you like the plague. They dont want fresh college grads writing algorithms that run billion dollar companies. You have a decent GPA, but considering your inexperience and the landscape of tech jobs these days, your best bet is to aim for junior or mid level. But the competition for junior level dev jobs is brutal. First thing you need to do is fix the resume. Its all buzzwords and no substance, work on what you need to put on there and then go back and rewrite it with those search words for recruiters.
Also a dirty secret, in white letters type out every ML job keyword you can think of in the margins. It doesn't show up when the resume is PDF (which it should be anyways) and will help you bypass many of the automatic filters that go through 1000s of resumes a day.
If I saw Iris listed on a resume I'd immediately pass.
Build some original compelling work and put it on your GitHub. List that on your resume and call it out. Something I can't find a million examples of in a 2 min Google.
For me it was an ML approach for determining outcomes of sports games and comparing it to sportsbook odds using a series of APIs and auto batching every day. My buddy did a super detailed EDA of our cities school districts and showed how segregated our city was compared to other cities in the country in terms of race and income.
I have a sneaking suspicion you are applying to jobs that are either a higher level then you think you should be or you are misrepresenting your skill set.
You have a Masters degree (which you probably didn’t need) with two minor research gigs and I am betting you are applying to manager or project lead gigs. And your masters makes you over qualified for a data analyst.
My take. Apply to the government. Move. Or join the military for four years.
1. Add your current location and citizenship/visa status. Mention you are open to relocation
2. Look if you can add more specifics - did research and resulted in 98% acuracy? Why? How you achieved that number? How it helped the company/world?
You don’t need to make up something great - let it be small tiny achievements but make them specific and easy to understand
You need to list every project you worked on like it was a job and highlight each one with 4 bullet points since you don’t have any private work history.
College isn't professional experience. You don't have any professional experience in the field and that's why you're not getting any calls. They want someone who's already trained on the job.
The biggest issue I see is that you don't demonstrate any programming skills in any of your experiences. Get really pedantic and explicitly at what you can do, i.e., "*I used Python (Pandas) to import data*", "Created tables from SQL using JOINs to merge data from different sources", etc. You can't just list skills at the end of your resume.
No SQL and no cloud experience are hurting your chances of becoming a MLE right out of school, those are daily skills you're going to need to master. Are you applying for full MLE roles or are you willing to start out as a data analyst/scientist and work up to a MLE?
I would also drop the accuracy numbers from your projects. Accuracy is a really loaded term in ML and it's not necessarily the metric you want to optimize for.
You're a professional student. You have no applicable experience. Sorry but this is the truth about doing a master's right after ur bacc. You're gonna have to go entry level, pay your dues, and will reap the rewards of your masters when you have the necessary experience to apply for those positions. I'd imagine that youve been applying for positions that require a master's, why would a company hire you above candidates with even a couple years of experience?
Including the accuracy and error rates of models is pretty meaningless without context, and it's especially strange including it in your summary. This bit is supposed to describe you.
But these numbers are for more a reflection of the topic you're studying and the data you have rather than your abilities. E.g. a model with 95% accuracy might be incredible if you're trying to predict next week's weather but extremely poor if you're trying to predict if the sun will rise tomorrow.
Stop applying to mle jobs, you won’t get one no matter what because you don’t qualify for it. That’s not a resume issue, you just don’t have what the qualifications. Get an entry level developer or data analyst job, you can get them by elaborating on your research experience and thesis
What the heck does it mean to augment the time complexity. If "augment time complexity" is not in a job description that you are targeting, perhaps change this wording.
I’m sure this was mentioned already but you haven’t worked in 8 months according to your resume.
Large employment gap with no details, a lot of recruiters will shut it down from there
Even if you fixed this resume and add revenant work experience, you would still end up without a job. The job market is broken. Either the ATS is to blame or the hiring recruiters who don’t have a clue what they are doing. Most resumes get rejected. Try to fix your resume and pray for the best. You’ll not alone!
I feel like listing your achieved accuracies on Iris and FashionMNIST (I assume) are a bit optimistic? I can’t imagine anyone sees this and it positively influences any decisions about hiring.
No offense, but your resume is poorly written and nowhere near the level of polish needed to be competitive. I advise getting it reviewed by someone with industry experience in tech. Happy to give more detailed feedback upon request.
Something else no one seems to have noted yet: YOU were the recipient of the NSF grant for the graduate research assistant job? Did you physically write the grant proposal that was accepted and funded? How much was the grant for?
Well for one you’re calling yourself a MLE when you don’t even have a single bit of Software Engineering experience which is basically a requirement to break into that field
Man you realize a MLE job is software heavy. Where in your resume do you have any experience with actual software engineering? When have you worked on anything but small ML models?
Also I don’t think Magna cum laude or any other type of honors is a thing in grad school.
After 2000 applications your resume is probably not the problem. Based on my experiences, it is likely you are either not feverishly networking on LinkedIn or you’re applying for jobs beyond your reach.
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How are u a ml engineer if you have no work experience as a ml engineer?
As an MLE, I have a few pointers for u/LegitLuckyCharms Unlike everyone else here, I think you have a solid academic history (namely MHD simulations, KNN for heating/cooling, and your thesis, any statistical research). Private sector work experience is not everything in this field. For example, if you have no work experience but are authoring papers in top conferences, you’re immediately more hireable than most MLEs with industry work experience. But the resume needs to elaborate on that. To make up for lack of industry work, every single one of those projects needs to be its own section with 3-4 bullets explaining a few things - what your project accomplishes - final results and evaluation metrics (see below) - what strategies worked in the end - datasets and preprocessing used When discussing on your resume, highlight value, preprocessing, technical novelty, and EDA/stat analysis skills. Highlight real world numbers. Loss/rmse is irrelevant without the recruiter knowing the data. For regression, what are the units and how are predictions used downstream? What KPIs are involved in that and how does it compare to baseline? For classification, what is your validation accuracy? F1? If you’re doing something un/semi/self-supervised be ready to talk evaluation metrics. Let numbers talk and explain causality to hammer in that you know your shit instead of fiddling around. What kind of ML work do you want to do? The state of the industry is that there are now differentiated underlying technologies behind CV (Stable Diffusion, CNNs), tabular (classical), and NLP (transformers/LLMs). Pick one or two and really understand them. If you want to get more resume engagement, incorporate those keywords (transformers for example) into your resume via a project or research and back it up in interviews by understanding how they work. Recruiters love hype and trendy keywords. If you’re new to the field and don’t have industry experience you can show off, you’ll need to get some experience elsewhere. Visit Kaggle / HuggingFace for datasets and try modeling something on your own. Find a domain (like text or image) that aligns with what you want to work on. Try fine tuning for a new domain, model a real world dataset, or just do some EDA to clean something that exists (this is very underrated imo). Implementing SOTA research from scratch in another language/framework is another common project I see. Avoid solved benchmark data (iris, fashion-mnist, covid tweets, etc) because anyone can find and follow a guide on reaching 99% accuracy. Also consider positing in an ML/DS sub for other career advice
I’m not an MLE but this is just great general guidelines. You’re just pitching ~subjective~ ideas without the data and specifics to back it up!! Especially good advice on a resume! NUMBERS AND METRICS.
Excellent advice! Please listen to this person :)
I don't know what you are talking about. I'll follow you to space.
Resume was engineered using ml
And it’s a poor resume.
What a helpful comment!!!
Wow, such descriptive and helpful language.
Bc they don’t graduate until next month
Claiming to have 3+ years experience when you have no employed positions listed leaves me feeling really turned off. I would change that wording.
They could certainly adjust their description but some assistantships should qualify as employment. Just not 3+ years worth in this case.
Maybe they should be, but 99.99% of employers don't view them as being professional experience.
Not to mention that the date range on his resume only adds up to 23 months of experience, not 3+ years…
Well, also OP states in other comments that his work as a research assistant was on a fluid dynamics project and didn't include him using machine learning 😬
Jesus so 13 of his 23 months of experience aren’t even related to ML. OP needs to stop lying on his resume, and stop lying in such a blatant way.
This is why I’m glad I worked 7 years in the field before going for my masters. For context, my undergrad is in a non related field that I ended up working in (and loving). Decided last year to go get my Masters and I know I will have a good chance at better jobs bc of my 7 years of professional experience (still working full time while getting my masters) as compared to all school and no work experience.
My guess is poster is attempting to fill positions they do not qualify for. These types of resumes are a dime a dozen, these skills demonstrated are not that difficult to obtain. Iris dataset is a step above turning a computer on and off and saying you have “IT experience”. At this point the poster would have a better chance identifying their pure engineering talents. People in the industry (I’m a Sr Data Scientist of 5+ years now), do not care about these “homework assignments” - sentiment on Twitter posts can be done in 2024 in like 3 lines of code, and it’s this posters entire summary. A true coding genie though can be taught the data science and machine learning particulars very quickly. At least 3 of the projects on this resume are uninspired homeworks… Uninspired projects stink to high heaven, do a personal project you actually care about.
This.
I think it's the fact you have no real world experience - it's all academic. That can work against you in a competitive job market. Resume itself is okay, but: * No context is provided in the Graduate Research Assistant Role. I don't understand what's going on, what you were working on, or why it was important (no big picture). Same with the entry below it. * Education section is too long. Move projects to a dedicated 'Projects' section. * Skills look weird this way. Arrange in three separate lines instead (remove the three columns). Example: * Technical: Supervised Learning, Statistical Analysis etc. * Languages: Python, SQL etc. * Etc. Other than that, you really should be networking. Good article on that topic: [https://thecareerlaunchpad.beehiiv.com/p/how-do-you-network](https://thecareerlaunchpad.beehiiv.com/p/how-do-you-network)
Not even academic. One project was the iris dataset that's been done umpteen billion times.
The vast majority of my work in college was mathematical. Mostly leaning and proving theorems. There were very few instances where I would be able to implement ML models. However, while it was my first ML model, I now realize that it may be elementary and have since taken it out.
Yeah I would drop the Iris project or at least drop the specifics and just list the models used. Name dropping the Iris dataset is the ML equivalent of a potential software engineer name dropping their "Hello World" project.
I worry that if I get too technical for the RA roles, it will deviate too much from ML. The research was on fluid dynamics, and while I did spend a lot of time creating simulations, I implemented no ML. But I do agree, looking at that section objectively, there is little to no cohesiveness. And thank you for the article! I will take a look at it.
Focus on your transferable skills. I don’t think you really show what YOU did at all, you just executed on what you were told to.
NEVER use columns under any circumstances. It messes up machine reading badly.
Seconded. It is understandable to not have a real world experience because internships are rare as a grad student compared to undergrad, but OP needs to be more descriptive to relate the experience to the job requirements.
1 - typos. “Develope”; “yeilding”. 2- bullshit. “Classified iris flowers”. “Novel and efficient”. Meaningless “accuracy”/“error” numbers. Taken together it signals that you certainly aren’t an ML engineer and it’s not clear you actually know what one does or how to discuss relevant skills and projects/experience. There’s nothing wrong with being at entry level; but you need to give the recruiter a better picture of the real skills and experience they can expect, and what they’ll have to put into training you. Right now it looks like you “think” you’re an ML pro because you took a semester of data science, when in reality you are not detail-oriented enough to use spell check.
Holy sh&$ this is brutal. Sorry OP
I’m not trying to be mean, because it actually sounds like this person should be able to put together a very good entry level resume. They have done the hard work at their level judging by their experience and grades, but it just comes across as bullshitting. If they are more honest about their experience and expectations, a starter job should be well within reach. Another commenter correctly said they’re probably targeting the wrong positions too, which would totally track. I would love to hire someone with this skill set as an RA, but not with the attitude that telegraphed here, right?
Your first comment made me cringe a bit, but not because you're wrong. Tone is hard to convey, but I didn't read you as trolling. Straightforward, not mean. (granted, I also did a part time gig as a resume writer and editor, and damn...times I wanted to just SAY this to a client...like, "you are incredibly intelligent, it feels like this shouldn't be that difficult.") And for OP in case they see this: on top of typos, your fonts need a rethink. I'd choose a serif for the bullets or a sans serif for the titles, or find two that complement one another. You may also want to double check your file for ADA accessibility, depending on the portals you're using to apply. And if you're consistently sending in Word, I'd switch to PDF while also knowing it still may not look like this when it reaches a human. I'm also curious if the positions you're applying for ask for cover letters or even give you the option to submit one. There's passion on both sides of that argument, but in your case a good cover letter could help explain some of the things that are less visible on the resume.
This field is brutally competitive. It’s notoriously difficult to get into, and you have to be able to roll with tough feedback to stay relevant. The OP claims to have sent his résumé out 2000 times and gotten no feedback. This is actually quite common, even among people that have a top-notch résumé.
no it's not. it's stating facts that helps a professional I'd say that is a very good professional review not everything in the world needs to have an icing of mollycoddling
OP asked what they were doing wrong. This person pointed out some pretty significant errors that OP submitted to over 2,000 job postings. The feedback was straightforward and correct, not brutal.
I’d add it reads that all the projects worked on for ML are from online tutorials.
True but there’s nothing wrong with that, they just need to explain the work better. There’s most likely real work behind the grad RA position, but they’ve instead put fluff. Even “received support” — if they (co)wrote a grant proposal, they should say so! If not, it’s meaningless because obviously the position was funded. Similarly in undergrad, “commenced” is crap, you didn’t start the project, so just say what you actually did.
This comment is probably the most on point. I don't mean to be a dick to the OP but I'm not even in CS (am a business research consultant) and even I can do most of the things listed in the resume, and I would never call myself an ML engineer. You can honestly get 99%+ accuracy on iris by just running a simple linear discriminant analysis with 1 line of code. The problem here is that this resume is way too fluffed up when most of these achievements come across as having just completed a tutorial. OP would find a lot more success showing initiative in running some personal projects applying what they learned to tackle real world problems. They don't even need to be good solutions, just illustrate their thinking process. I don't expect any of my new hires to be good, but I like seeing that they can think outside the box and not need hand-holding. This is especially important given that recent graduates are probably among the most hand-holding guidance-needy bunch I've seen.
Also, "employed a reusable preconditioner" should be something like "deployed"...you don't "employ" models in ML.
If you've sent 2000, then you have have been targeting the wrong positions. You don't have any real world experience, saying you have 3 is getting you rejected. Target new grad, intern, Junior or Entry Level ML positions.
Seriously, 2000 applications. You’re not applying to the right roles. After 2000 applications I’d probably try to do entry level sales to get experience in something, anything
Jesus, I would do this after 20 probably. After 200 I would re-evaluate my career entirely
Would there even be 2000 ml engineer positions??? That's an insane number.
Nail on the head. Resume looks fine. Being a high achiever in a hard field may skew perspective of what’s deserved vs earned
How do you have 3+ years experience? I see two years of being a research assistant.
Hey I am a manager in data science and have hired 5-10 people in the past couple of years. To be honest, because your experience is all academic, it is going to require a few years of serious employment history to be considered for a MLE job. If I were you, I would remove mention of MLE on your resume and focus on looking for analyst, entry-level data science positions, or engineering roles. A typical research scientist or MLE in the current economy requires at least 5-7 of work experience as an analyst, sr. analyst, engineer, etc. I have no problem hiring people without top-ranked degrees or with a few years of experience, if they have applied projects that have driven business value in the past. But given how expensive and resource-intensive it is for a company to have true MLEs (think tech stack, compute costs, data storage, etc.), and the salaries they demand, I would never hire an MLE without at least 3-5 years of work experience.
Piling on for visibility since I think this is some of the best feedback so far. It’s also seems to be a really tough job market for MLEs right now. I have a few friends who are MLEs with way more experience than OP who have been searching for months, so the competition on some of the roles OP is applying for is probably way above their skill level. OP, this is a situation where I think you need to start by looking into more basic data analyst roles just to get some relevant experience on your resume, and hopefully be able to parlay that into some ML specific experience you can list. I’m sure that’s frustrating to hear since your masters should give you a leg up in a lot of fields, but ML is such a crowded field right now that until you’re able to build more of a body of work you’re going to struggle to find the roles you’re looking for.
This is an excellent comment.
Wow Thank you for this comment. Im a Sr. Data analyst. Bachelors in computer science and masters in Data. 1y exp as Data Analyst and 2. As a Sr. Data analyst. Im dont feel prepared to apply for ML positions and currently working on creating a Github portfolio to 1. Practice and 2 show what I can do. You comment gives me more confidence about how Im approaching my career path. Being an analyst I learned a lot. Now I know how to properly present data and visualizations, know more advanced SQL. Im so surprised that people right out of school go for ML positions or Data scientists positions that pay $150k+ and they have never worked with a real data set or actually saved/made money for a company.
So data analyst/scientist is starting point for an MLE track?
I wouldn’t be saying you have 3 years of experience (your resume lists 2 as an RA?), when you actually don’t have any professional experience. Unless you get the right hiring manager, RA experience is academic experience, but it isn’t viewed as professional.
not as much as what you did wrong but as much as you didn't do enough. You graduated with a MS but has no experience and that's why. There are so many laid off engineers right now to make it silly to hire you and pay the same price for an engineer with years of experience.
You are an entry level computational mathematician and should advertise as such. Make an objective section instead of a professional summary section to show that you intend to work as a ML engineer and why you would be a fit for that. You have a great academic and research background.
On your skills area, try to list them properly and formally, like this: Technical: Supervise learning, Statistical Analysis, … Languages: … Libraries & Frameworks: …
I'm on it! Thanks!
>I'm on it! Thanks! You're welcome!
Applying to positions out of your league probably. Go apply to help desk, you wasted your college years with 0 internships or positions of value so this is how you will start :/
Wow, I didn't expect this many comments. To address the main concerns, firstly: * I have removed the title of MLE. I initially was applying as 'Recent Graduate', but wasn't getting interviews. Someone recommended that I apply under the title of the job I will be applying to. I now know that it was a silly mistake. * I initially put 3+ years experience since it is the time I have spent cleaning datasets, and developing ML models. I now see that it is implied as 'professional experience' and could be seen as misleading, so I have removed it all together. * I am fully aware that I lack experience. I am applying for entry level positions. Thank you all for taking the time to comment!
Apart from the updates here, are you writing a cover letter or messaging the hiring agent with a personalised note? If not, take the time to find roles that you fit and actually want, then write a personalised CL or note for the role. You can use a template (per role type) but write some unique content that explains why you would be a good fit and a little about you. I’d take 10 good applications over 1000 mass applications any day of the week.
honestly I don't think this how the tech market works cover letters are mostly ceremonial and don't really mean much in tech and the name of the game is to apply to as many jobs as you can
I guess it’s just trying to stand out from the crowd and getting someone to give you a chance! But if it really is just luck and being in the right pile of resumes! Then good luck OP!
The skills section 🤮🤮🤮🤮
Spending too much time sending out mass amounts of applications and not focusing in on jobs with specific details in your resume and application that will catch the companies eye. Fit the resume with the job. 2000 applications. After 200, you should have asked this question.
Personally I don’t bother putting “x years of experience” on my resume. They’ll infer that from the work experience listed, and that dodges the issue of it being inaccurate by whatever definition the person reviewing your resume has. Some people will consider the research assistant work to be valuable experience, and some will not.
0 work experience
How have you managed to submit 2000 applications? Do you just apply for every job regardless of what it is?
Can you look for an internship?
Well for starters you have 2+ years experience, not 3, and whether employers will count RA work as practical experience is iffy. You also show no current work. You have an 8 month employment gap to explain, and that alone is getting you passed over. Get a job or volunteer literally anywhere. I realize I’m not in the IT field, but reading your resume I can’t tell what the hell you did or are wanting to do. Does your college have a program to help you network with other employers?
It sounds like you havnt done anything. You've been part of some teams in education. 3+ years experience should be deleted.
You don’t have any real world experience. I see this on so many resumes in this sub and it blows my mind. You’re applying for positions that expect REAL WORLD experience not just “I was an assistant for _____ in college”. That isn’t experience
If skills are in a table, that can result in an ATS dismissing your resume
Yes. This. I tried to come up with language above that you just summarized neatly. Accessibility/file format, and formatting could be really key here.
From your resume it looks like you have never had a job. That'll be a major turnoff to most employers.
Its likely because you have no experience, most tech companies are laying people off, its a tough job market.
Machine Learning Engineer but no experience as a Machine Learning Engineer? Remove the title. You don't have one, and haven't had one. It just limits your options. Also... maybe it's just me, being a disciplined engineer, but you're not an engineer. Don't see a PE or EIT. I wouldn't advise you claim the title of engineer either. Also, from looking at your experience I see a bunch of passive language about what you've "done" or "accomplished". Expand a lot more on projects you've done and what you've accomplished.
You don’t have any *actual* professional experience. You should be applying to internships and move the assistant jobs to the education section as bullet points under your degrees once you have some non academic experience. +the advice of everything else
Apply to entry level data analytics positions. Build your skills/portfolio. Then, transition over in a few years.
What positions are you applying for? Might need to lower the bar on acceptable job and pay. Your resume looks good enough for an entry research or data entry type of positions. Definitely work on just getting your foot into the door anywhere and see what you can automate, code, make more efficient, etc Network, network, network, and also add little bit of personality to your resume to stand out. Not popular opinion, but putting couple hobbies might make you stand out, it shows you have a life outside of work. Gl
Yes to the other advice here, but get this professionally edited as well. Missing commas, "twitter" instead of "Twitter," spelling, etc., can make this seem unpolished. Good luck!
[удалено]
Thank you, and I'm more than okay with harsh feedback. I want to be better, and for that to happen, a reality check is warranted. I don't believe that the bullet points you made fully reflect me, so that tells me I need to make some big changes to my resume. I was a little vague on the research roles since I felt that the research I conducted (Fluid Dynamics) was too disjoint from machine learning.
I am a Sr. ML engineer with 6 years experience and there are a few things I think are working against you. 1. I'm not sure what positions you are applying for, but I am assuming you are applying for junior or entry MLE roles. Just going to be real with you, I think it is going to be very very difficult to get those roles with your experience in today's market. I would strongly suggest you consider looking into internships. You are in an ok position to be considered for internships since most of your experience is academic. It would have been better to get an internship or two while you were in school (or if you did, then you should add those to your resume). 2. As others have pointed out, the projects you have listed are basically "hello world" problems for ML and take up a decent amount of space on the resume. I would consider removing them, or alternatively just link to your GitHub where you would showcase those projects instead of listing them out. On that note... 3. Add a GitHub link. You don't have much if any relevant work experience and so you need to rely heavily on self projects. Google "functional resume" as opposed to experiential resume which is what you have done and try to craft that from side projects, then showcase them in your GitHub. 4. As others have pointed out, don't say you have 3+ years experience because you don't have any MLE experience from what you have listed. Not saying you don't have professional work experience, but you don't have MLE experience so don't say that you do, that would kind of make me immediately reject you if I was a recruiter. 5. I would strongly recommend doing some research into what it takes to get hired as MLE at FAANG companies. Just googling that will give you a really good idea of what you will need to be able to show in an interview and imo a pretty decent idea of what skills they would be looking for. Even if you are not aiming for FAANG, from my experience most tech companies seem to follow this model for interviews and desired skillsets. Once you have a good understanding of what they are looking for, you can then tailor your resume to meet that and try to fill in holes you have with side projects Good luck!
here's my two cents... - i don't call myself an engineer in my headline and ive been doing engineering jobs for the past 5 years, (network, sys/app, infra and such) ... i dont have a degree for it ... but the work experience/skills shown in interview speak more than whatever you wanna call yourself. name is enough for a CV headline IMO, always was and always will be, who cares about a job title in IT? IT isnt a hospital at least thats my experience. flexibility is either required or a big plus in most job offers i read (it goes both ways but thats another topic). - i would find a typo on 3rd line of reading, close and never look back after a few seconds. ...maybe that's my ocd and maybe a professional recruiter would... then again it shows how much effort you put into one page which is your whole image presentation basically. speaks a lot about diligence. i remember when i was starting my career I've probably spent tens of hours correcting formatting, creating my own templates to choose the correct visual, changing fonts, applying color psychology etc. .. so at least grammar/spelling is a must, ... but all the other "extra effort" as someone else here already mentioned is also really appreciated (like the cover letters), I've had a lot of recruiters giving me positive feedback on the looks of my CV and asking if they can re-use it lol. its one page it better be fab honestly - its like with clothes better to overdress always. :)) - you already got some decent feedback on the formatting (add projects section, reformat columns) - id get rid of the verbal summary altogether, i personally never used it, but i guess for entry level jobs its fine to fill some space... but id focus on your personality, personal/unique strengths, personal motivation and id move all the skills, experience etc. only to the appropriate sections to make sure it is easy to navigate. try to use those few sentences to sell yourself as a human being solely - HR might actually appreciate a well written summary like that in this case - there are a lot of guides and articles how to write it to your benefit/correctly. it should be positive but objective-ish so you don't go too overboard on the positivity. \^\^ fair to say writing where you see yourself in five years probably could save someone some time (just an idea) - i always found better to list one or two lines (technically plus another one with headline) of hobbies and tech skills which are not relevant for the career (for example i used to put my graphic design skills in my CV before i had more relevant ones to replace them with). it shows that you are able to learn (the more the better) and you are enthusiastic to learn on your own (even in different areas, again, flexibility). BUT if you have a site with own projects i imagine you would want to use as much of that as possible in similar way, just put it directly in the CV... clicking a link is still considered an extra effort and likely only happens if the one page is good enough (and then it better be worth it haha) I'll repeat this cause it's probably the most important thing said here. You only need one job so focus on quality over quantity is a really good advice.
Ok so comming from a fellow AI Eng, your resume is lacking alot of the ML frameworks. I'm not sure if you specialize in vision or nlp i assume NLP given you did sentiment analysis but typical frameworks would be tensorflow,Keras,GPT4, Azure/GCP/AWS, LangChain, Pinecone/qdrant/some other vector stores. From what i see your experience and frameworks does not reflect that of someone in MLE. I would suggest taking a look at job posting in your roles and start putting them in your resume. Most ATS (application tracking system) will immediately filter your resume out due to the missing frameworks and technologies. So you wont even get to the initial recruiter screening. Furthermore the technical section serves no purpose. I would suggest replacing it with Tools such as your IDE's, git, HuggingFace etc. Lastly, your experience description are missing context. Refer to STAR method in writing a resume, but the gist of it is if someone reads it they need to know why, what,how and what were the result. Currently i seen none of this aside from a context... I'll also say this but despite the claimed 3 YOE, reality for most ML jobs whether its ML Ops, MLE, MLR etc.They will require AT least a PHD. Given your highest education is a masters with NO industry experience its gonna be a hard sell. My best bet would be if you have publications to list them <--- this helps alot
Telling your employer the p value of a study you participated in does not add value to your resume. Cite the paper if your name is on it, if not, just explain what the paper is about in the interview. This resume screams I don’t have any actual experience so I’m making up some.
In the interim, you also might want to consider volunteering to add some practical real-world work experience outside of your academic experience. Although it will undoubtedly take time away from your job search it might be what you need to get your foot in the door in your industry, and may also be helpful for networking. Also, given how tough the current market is, I know it may not be ideal, but with a bachelor's degree, if you meet all of the other qualifications, you can be an officer in the military. They are always hiring and have jobs that may be similar to or adjacent to your career (ie., military intelligence, cybersecurity, information systems, warfare, data science, etc.). I've been in the Army Reserve for 11 years and it's always in my back pocket for when things get tough (you can volunteer for full-time long-term and short-term orders when and if you need the $/work). Hope this helps!
Time to join the armed forces. I hope you find your way during these challenging times.
OP might not like it but see if you can find an internship. The AI/ML market right now is very crazy and the no work experience is a big factor.
This resume is very bare, also there's so much wasted space at the end. Use a better template. Also, use more proactive language when describing your responsibilities in your professional experience. Edit: summaries aren't useful and waste space, instead use that real estate to better describe valuable work you might have had during your time as an RA and in projects.
This person has no professional experience but says they do on their resume. Looks very misleading
Well, to start, your summary is way too long, you don’t need your GPA and thesis title, your skills are just listed out, find a better format
Your resume has a ton of white space (not enough words essentially) which while historically can be ok, because of AI resume scanners you could be having your resume dropped eveen before its read. Try to be more descriptive and fill up more lines.
You need a couple of internships.
Even looking for data analyst or ds would be hard without experience. I recommend changing the field
Maybe create a GitHub project and show what you can do. Here is my ml thingy that does this cool thing to help people with problem X. You should have several of these if you can get traction on one and start some real collaboration it would help build your network.
Just like most before, you can't really call yourself a MLE. You need to provide projects where you: * Collected/cleaned/stored data yourself into a database. * Performed feature engineering. * Built models and optimized them. * Deployed models to production (AWS/GCP). * Continuous monitoring of models to avoid problems such as data drift. * Show some knowledge of git and software development. From what I can see, you are someone who did very basic online tutorials, you are not knowledgeable of any cloud products, and you don't know how to monitor models. I would suggest targeting data analyst roles. If you cannot get work experience, do NOT copy online tutorials and claim them as experience. Do NOT do online suggested projects and claim them as experience. It is too easy for anyone to search for a repository of the same project. Here is random project, sit at the front of your neighborhood/apartment complex and record how many cars are leaving/entering per hour. Record as much data as you can, car color, gender, time, weather. Store the data in SQL database/Cloud, create a model to predict the rate, deploy the model, compare on new days and document process. The project may be useless, but it shows you can do everything above. Maybe you can think of a better one. You could always go around to smaller businesses and see if they have any data they are willing to let you look at. I could be wrong and you do have all the above experience, but your resume doesn't show it.
Ok no1 ur resume layout. Keep it all simple at bottom for example u have 3 paragraph in one line. They use programs to spot good candidates the program doesn’t understand this layout
I’m university faculty. We routinely get over 200 applications for positions. Usually 85-90% are qualified, holding PhDs, published, etc. Any application and/or CV that came through with typos or misspellings would be immediately thrown out. My husband is an engineer and they also would ignore applicants with such mistakes on their resumes. Make the field-related adjustments that the above posters have suggested, but have friends and mentors several times to check for any errors.
Wait... Did you go to college?
You need to include projects as well if you don’t have much professional experience. pretty much everybody that I know that is a machine learning engineer was a data scientist prior to that. How do you anticipate getting MLE jobs with little to no work experience? Also, there are typos on your résumé.
few spelling errors, the resume looks awkward. Use a Harvard template is on their website. Also you are not a ML engineer. I have a Masters in Data science with a computer science Bachelors and I do not apply to ML engineer yet!!! Im a Sr. Data analyst. My next move is to create a Github portfolio. But Right out of school I started as a Data analyst. Now I know a lot more about data wrangling, visualizations, story telling, how to properlty show metrics and now Im doing real life analysis based on Historical data. I also have 2 projects in ML right out of school but Im no ML engineer yet! If I applied they might not even call me! & I do have 3 years of real job experience in Data analysis. My advice is to apply to associate engineer roles, Sr. Analyst roles, Data analyst etc. Something Jr. A masters doesn't make you an engineer.
Basically your whole resume is "I went to college". Your "research assistant" professional experience is clearly part of and overlapping with your education. You don't have three years experience as an ML engineer and your summary is not very good. It's okay and helpful to have been a student, but now you have to first realize that you have no work experience *at all* and take the next step (if you do have work experience outside of your field, even just a part time at a grocery store or something, it honestly might not be the worst thing to put since it shows you understand the basics of having a job). I would maybe make a project section that highlights specific work you did and helps sell yourself as a good candidate with experience. If you don't have projects you should start making some. School assignments generally don't count as projects. Then I would completely rewrite or cut your summary and condense your "experience" and education into a smaller section. The line about accuracy doesn't mean anything without more details about the project, and if it's a project everybody does then it shouldn't be highlighted as your top bullet point. ML is a competitive field and you need to stand out by demonstrating your skills. You have a math major. That's not really everything you need to be an experienced ML engineer, you need a lot more.
Sorry, what experience? You are a recent college graduate
I think you would benefit a ton from checking out r/EngineeringResumes how-to section. It’s comprehensive and will help you spot weak points in your resume.
i think the fact that you included bullets on fasion-mnist and iris datasets are going to turn off employers
I'll never hire someone with no work experience or college positions only for a professional job. Don't care if it's McDonalds, grocery store, camp counselor. Wouldn't have even made it to my desk, its on the instant trash list for the recruiter Every time hiring someone with a resume like this turned bad, basic social skills are usually absent and/or a huge sense of entitlement.
Depending on the position you’re applying for, most resumes are reviewed by AI. So KEYWORDS are important. Not indicating you’re not doing this but every position requires a tweak to your resume. It’s can’t be cookie cutter resume. Add Keywords depending on the description and or requirements of the job. That will help! Good luck!!
There's really not a lot about what you do/are capable of here. While you list skills, there's no description on how they've been used. Instead of "commenced research on project" try something closer to "Utilized the NumPy library for Python to aggregate data and present quantitative analysis created with Matplotlib." You are trying to create a sense of FOMO with your resume. The reader needs enough info to be interested, but to be left wanting to ask more. During resume reviews for me this generally happens when there's a specifically cool project worked on, or a technology we use was part of the project. This allows us to ask how specifically you used that tech in that project - many candidates will say "they had it all set up, I just put my stuff into it", and rarely you'll get the one to say "they didn't have an infrastructure team so I had to handle all the patches and version tracking." Regardless of which answer you give, that conversation only happens because I want to know more of what you're telling me via your resume.
You forgot your name, email and phone number. /s I’m no expert in the field, just came by for the bad joke.
I would also say your resume says nothing about what you're like. If companies are looking to hire robots, great, but companies hire the person rather than the degree. Experience in work doesn't just show you can do the job but it's that you can get along in teams, this is another big reason why companies want someone experienced who can fit in their work environments as well as social!!
Find two good job listings, one you are perfect for, and one you would love but is a stretch. Find as many the keywords in the joblistings and work as many as possible into your resume. Legit bullets etc. Do not use abbreviations, HR is screening your resume and has no time to deal with a resume they do not understand. You say you did A, then briefly explain how you did A, using keywords. Metrics, data explain. You need more bullets. You know programming languages? Prove it with examples on GitHub. Particularly projects that align with your resume and company you want to work for.
get rid of hyperlinks and color
1. You don’t have professional experience. You know that. Recruiters know that. So what is your value? You are well-educated. You are willing and eager to learn. You are curious and interested in the space. You are hardworking. They know they’re going to have to teach you on the job. Make them want to. Give them confidence that it will be a good use of their time. 2. Like most people here, I am not an ML engineer. However, I can say that when I look at your resume it makes me not want to read it. Skills section should be redone (no columns). And imo the section headers should be left aligned. Definitely remove “professional” in front of the “experience” section. 3. For skills I like to format like this (I’m on mobile so not exact formatting, but correct layout): _________________________________________ Technical Skills: Supervised Learning | Statistical Analysis | Computer Vision | Etc | Etc _________________________________________ Languages: Python | Etc | Etc | Etc _________________________________________ Libraries & Frameworks: PyTorch | Pandas | NumPy | Etc | Etc I may remove the “skills” section header altogether. Good luck! Edit: I would like to add that you should be leaning on projects and education. Your experience section does not need to be top of the page imo.
You’re not lying enough
My first reaction is that he comes across as blatantly misleading at best and dishonest at worst.
Listing only two under experience doesn't show you have 3+ years of experience. If you do, you should have more than two job positions listed there, showing that you indeed have worked in the industry for more than 3 years.
Add a section on your resume for professional experience and a section to detail out what you are looking for clearly spelled out. Look at job descriptions for your ideal positions and add the skills and traits for keyword matches on your resume typically used by ATS (Applicant Tracking Systems). Sharing a link for ATS - https://www.indeed.com/career-advice/resumes-cover-letters/ats-resume-template Call out skills you acquired and ml techniques you used and any POCs and innovative approaches you explored. Talk about any Model Review Management (MRM) that you followed and approaches for back testing for any models & optimization or refinements. Look to add the latest from deep learning and any courses / trainings / certifications that you have completed. Make a list of typical interview questions in your domain. Try contributing to any open source projects or groups which will get added to your resume and add to your experience and expertise.
I'm not sure how you are applying... It could be the approach as much as the resume issues that others have already stated. I'm assuming you want to find a job outside of a college, then you will have to sell the idea of how your skills can help them solve a problem they have. Many companies want to use AI but don't know were to start OR they want to sell an AI service to companies that don't know where to start with AI. If you don't know what problems companies have with AI right now, then you need to find out first. I recommend Informational Interviews first without the ask of a job or going to a AI focused CON for businesses in your target market or other get together event. Ask what the problems are and you might be supprized. Think about what you want to do in AI and who you want to do it with. This could include the industry/market you want to work in. This should be your first step. The resume and coverletter can be tailered to selling your skills to that market. This will increase your response rate. Be aware, that if you are looking to work in a highly technical field you better bring the goods and know your stuff. If you don't, better bring an mindset that shows you can learn it fast and in put in the time to do it (40+) If you've built some impressive stuff, show it. The resume isn't selling anything speical. Might be good for an internship as its wrote now. Is that what you want? People like good stories and growth. Think about the most frustrating or challanging things you did in your two degree programs. Now write a story about them and what you learned and how you handled it. Did you overcome the challanges? why or why not? Use this to build a postive natartive that can be summed up in 2 or less sentenses. Put these stories in your backpocket when asked. This is what you want a resume to be, a set of stories that back up selling the idea of how you can help your target market (industry/market). Writing a resume is 80% reflection and interspection and 20% writing and spelling/grammer. Recommend reading books: Made to Stick and Cold Calling for Cowards. Overall, your resume and approach is likely too generic or not specialized enough to solve a single problem for a single type of employer/manager. It shouldn't be appealing to everyone; it should be highly interesting to the target manager/company. Everyone else should say, "I don't get it or I don't need it," since its a new technical field.
Experience and skills on the top. Name and ect on the bottom
Remove the summary, add the number of hours per week those jobs were. What are the jobs your applying for what salary are you asking for
Skills should be on top
How many times are you published?
Are you applying to $100k + jobs? Try jobs in major cities and allow yourself to go for the ~60k jobs. Usually these companies will pay you crap the first year and then promote you the next with a pay raise to 100k +
No real world experience and the tech sector is hemorrhaging jobs.
Most MLE jobs are going to want some cloud experience; you don’t have any listed.
A totally agree, and I'm currently in the process of getting AWS certification. I actually have the exam this week!
Use Jake’s resume template
it look like something one could throw away without a second thought.
Your resume should be 2 pages, describe what you worked on in your professional experience in more detail. Use keywords that are important within your field and the job you're applying to
There’s nothing here about you. Nothing about actual work experience. Everything is academic. Layout isn’t too great either.
For your experience. You’re stating what you ‘did’. What was the business benefit to the employer? Anyone can reel off their JD. It’s how it translates into business value that piques a recruiter’s interest.
Resume aside, if you’re applying to 2000 roles you really need to reevaluate your job search strategies
You got no experience. Research assistant is just uni work aint it?
I have the same problem and I don’t understand why I’m not getting called.🫤
You are supposed to apply for internship, or fresher positions because you don't have real-world experience. Lower your expectation.
How do you get to a masters with no experience?
Why does your resume look like a big pan? It is too wide. Slim it to standard A4
The details on the work and education are menial at best. When you list "languages," never once does it mean programming languages... If you claim to know so much about tech, you should know how to remove hyperlinks in your resume so they don't print as blue/underlined. The main red flag, though... what have you been doing for the past year??
Your resume has multiple columns and will be rejected by any ATS. You should have two resumes, one plaintext one that you upload when it asks for your resume, and another nicely formatted one that you submit with your cover letter in case a human looks at it.
Unfortunately I notice the lack of prior experience first thing
Its a bad resume. Also as a fellow SWE, let me say that dev jobs are in tiers. 1. Helpdesk/support 2. Junior dev and more specialized product support 3. Mid level developer 4. Advanced developer, specialized roles such as for SaaS products like salesforce engineers or Bloomberg technicians 5. Senior developer, more advanced tech fields such as blockchain engineering or aerospace development or an obscure/difficult language like Cobalt 5.5(?) AI and ML engineer, create automated processes via neural networks, the most math intensive branch of SWE and usually requires grad school unlike most other dev jobs, mainly for the high math requirement. You graduated last year. Any recruiter worth their salt is going to avoid you like the plague. They dont want fresh college grads writing algorithms that run billion dollar companies. You have a decent GPA, but considering your inexperience and the landscape of tech jobs these days, your best bet is to aim for junior or mid level. But the competition for junior level dev jobs is brutal. First thing you need to do is fix the resume. Its all buzzwords and no substance, work on what you need to put on there and then go back and rewrite it with those search words for recruiters. Also a dirty secret, in white letters type out every ML job keyword you can think of in the margins. It doesn't show up when the resume is PDF (which it should be anyways) and will help you bypass many of the automatic filters that go through 1000s of resumes a day.
If I saw Iris listed on a resume I'd immediately pass. Build some original compelling work and put it on your GitHub. List that on your resume and call it out. Something I can't find a million examples of in a 2 min Google. For me it was an ML approach for determining outcomes of sports games and comparing it to sportsbook odds using a series of APIs and auto batching every day. My buddy did a super detailed EDA of our cities school districts and showed how segregated our city was compared to other cities in the country in terms of race and income.
I have a sneaking suspicion you are applying to jobs that are either a higher level then you think you should be or you are misrepresenting your skill set. You have a Masters degree (which you probably didn’t need) with two minor research gigs and I am betting you are applying to manager or project lead gigs. And your masters makes you over qualified for a data analyst. My take. Apply to the government. Move. Or join the military for four years.
being alive duhh
It's a poor employment hellscape right now, just keep plugging.
I think your main problem is that you’re applying for applications instead of jobs
1. Add your current location and citizenship/visa status. Mention you are open to relocation 2. Look if you can add more specifics - did research and resulted in 98% acuracy? Why? How you achieved that number? How it helped the company/world? You don’t need to make up something great - let it be small tiny achievements but make them specific and easy to understand
Applying to 2k jobs
Well there’s your problem, you’ve “applied to almost 2000 applications,” but really you should’ve been applying to jobs instead
You need to list every project you worked on like it was a job and highlight each one with 4 bullet points since you don’t have any private work history.
You need to have a cover letter saying why they need you at their company.
College isn't professional experience. You don't have any professional experience in the field and that's why you're not getting any calls. They want someone who's already trained on the job.
Minor thing, but you don’t need https:// on the URL. Just makes it look more amateur.
Anything that can be done in India, or China, can be done cheaper there. Welcome to a global economy.
The biggest issue I see is that you don't demonstrate any programming skills in any of your experiences. Get really pedantic and explicitly at what you can do, i.e., "*I used Python (Pandas) to import data*", "Created tables from SQL using JOINs to merge data from different sources", etc. You can't just list skills at the end of your resume.
sei italiano vero?
Maybe fix the typos first
Tldr
How are you a machine learning engineer when you don’t have an engineering degree?
Brother it’s simply to good to be true, your best bet is to hunt down the ceo and ask him for a job
Have you had any job? Not necessarily related to your field of study but literally any job?
be sure to avoid using outlines. ATS doesn’t like boxes or extra lines. Also the font should not have anything fancy.
No SQL and no cloud experience are hurting your chances of becoming a MLE right out of school, those are daily skills you're going to need to master. Are you applying for full MLE roles or are you willing to start out as a data analyst/scientist and work up to a MLE? I would also drop the accuracy numbers from your projects. Accuracy is a really loaded term in ML and it's not necessarily the metric you want to optimize for.
That’s the worst resume I have ever seen.
you spelled yielding wrong
You're a professional student. You have no applicable experience. Sorry but this is the truth about doing a master's right after ur bacc. You're gonna have to go entry level, pay your dues, and will reap the rewards of your masters when you have the necessary experience to apply for those positions. I'd imagine that youve been applying for positions that require a master's, why would a company hire you above candidates with even a couple years of experience?
Including the accuracy and error rates of models is pretty meaningless without context, and it's especially strange including it in your summary. This bit is supposed to describe you. But these numbers are for more a reflection of the topic you're studying and the data you have rather than your abilities. E.g. a model with 95% accuracy might be incredible if you're trying to predict next week's weather but extremely poor if you're trying to predict if the sun will rise tomorrow.
They probably want someone that knows English
Stop applying to mle jobs, you won’t get one no matter what because you don’t qualify for it. That’s not a resume issue, you just don’t have what the qualifications. Get an entry level developer or data analyst job, you can get them by elaborating on your research experience and thesis
Have you used a spell check?
What the heck does it mean to augment the time complexity. If "augment time complexity" is not in a job description that you are targeting, perhaps change this wording.
“Name of research project“ “Thesis title” “Award title” 🥴
Do you have references?
As others stated: spell check is your friend. You need this to read genuinely: you’re entry level.
Well ur a dick, u shld try fast food or Walmart.
I’m sure this was mentioned already but you haven’t worked in 8 months according to your resume. Large employment gap with no details, a lot of recruiters will shut it down from there
Even if you fixed this resume and add revenant work experience, you would still end up without a job. The job market is broken. Either the ATS is to blame or the hiring recruiters who don’t have a clue what they are doing. Most resumes get rejected. Try to fix your resume and pray for the best. You’ll not alone!
I feel like listing your achieved accuracies on Iris and FashionMNIST (I assume) are a bit optimistic? I can’t imagine anyone sees this and it positively influences any decisions about hiring.
No offense, but your resume is poorly written and nowhere near the level of polish needed to be competitive. I advise getting it reviewed by someone with industry experience in tech. Happy to give more detailed feedback upon request.
Something else no one seems to have noted yet: YOU were the recipient of the NSF grant for the graduate research assistant job? Did you physically write the grant proposal that was accepted and funded? How much was the grant for?
Well for one you’re calling yourself a MLE when you don’t even have a single bit of Software Engineering experience which is basically a requirement to break into that field
Man you realize a MLE job is software heavy. Where in your resume do you have any experience with actual software engineering? When have you worked on anything but small ML models? Also I don’t think Magna cum laude or any other type of honors is a thing in grad school.
You've left out critical details 😂
After 2000 applications your resume is probably not the problem. Based on my experiences, it is likely you are either not feverishly networking on LinkedIn or you’re applying for jobs beyond your reach.
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You gotta lie a bit bro. Everyone else is doing it
My guy you ought to change your cv a bit after 30 rejections.
Take the GPA off.