ATS-friendly AI / ML Research Scientist resume: keywords, examples & free ATS check
Research roles (at labs, big tech and AI startups) look for publications, strong experimental method and code. ATS filters match research areas and frameworks; interviewers go deep into one or two of your papers or projects.
Top AI / ML Research Scientist resume keywords
ATS systems rank resumes by how many of the job's keywords they contain. Add the ones you genuinely have — in your skills section and inside your bullets.
AI / ML Research Scientist resume bullet examples: weak vs strong
Start with an action verb, say what you built and how, and end with a number. Our AI can rewrite your weak bullets like this in one click.
✗ Weak: Did research on transformers.
✓ Strong: Proposed a sparse-attention variant that cut training memory 30% at equal accuracy; published at a peer-reviewed workshop.
✗ Weak: Ran experiments.
✓ Strong: Ran 200+ ablations on 64 GPUs with tracked configs, identifying the 2 components responsible for 90% of the gain.
✗ Weak: Released code.
✓ Strong: Open-sourced the training code (1,100+ GitHub stars), now used as a baseline in 3 follow-up papers.
Interview questions your AI / ML Research Scientist resume will trigger
Every line on your resume is a question waiting to happen. Our AI generates questions like these from your resume and scores your answers.
Common mistakes
- Listing courses instead of research output
- No links to papers or code
- Claims without baselines or ablations
Frequently asked questions
What keywords should a AI / ML Research Scientist resume have?+
Use the keywords from the job description you're applying to. Common ones for AI / ML Research Scientist roles: Machine Learning Research, Deep Learning, PyTorch, JAX, Transformers, Reinforcement Learning, NLP, Computer Vision, Publications, NeurIPS. Only list skills you can explain in an interview.
How do I check if my AI / ML Research Scientist resume is ATS-friendly?+
Upload it to the free ATS checker on ExplainMyResume. You get a score out of 100, the fixes ranked by points, and missing keywords when you paste a job description. No sign-up needed to see your score.
What are common AI / ML Research Scientist resume mistakes?+
Listing courses instead of research output. No links to papers or code. Claims without baselines or ablations.
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