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AI Research Scientist resume skills and keywords

In 81 AI Research Scientist job postings from 56 employers analysed on October 23, 2026, the most requested skills are PyTorch (64 %), Machine learning (62 %), Publication (60 %), Python (60 %) and LLMs (58 %). Of the top 40 skills, 34 are hard skills, tools or certifications and 6 are soft skills.

Download the full list as a CSV or check your own resume against a posting with the free keyword scanner.

Top 40 skills in AI Research Scientist job postings

Skills requested in 81 AI Research Scientist job postings, by share of postings
SkillShare of postingsType
PyTorch64 %Tool
Machine learning62 %Hard skill
Publication60 %Hard skill
Python60 %Tool
LLMs58 %Tool
Deep learning43 %Hard skill
Communication41 %Soft skill
Collaboration38 %Soft skill
Algorithms27 %Hard skill
Artificial Intelligence21 %Hard skill
TensorFlow20 %Tool
Experimentation20 %Hard skill
Generative AI20 %Tool
Mentoring19 %Soft skill
Natural language processing17 %Hard skill
Distributed training17 %Hard skill
ACLS15 %Certification
AI Tools15 %Tool
Robotics15 %Hard skill
C++15 %Tool
Diffusion models14 %Hard skill
Problem Solving14 %Soft skill
Decision making14 %Soft skill
PhD in Computer Science12 %Hard skill
Neural Networks12 %Hard skill
Quantization12 %Hard skill
Research and Development11 %Hard skill
Computer vision11 %Hard skill
Data Analysis11 %Hard skill
Leadership10 %Soft skill
AI Technologies10 %Hard skill
Evaluation frameworks9 %Tool
RAG9 %Tool
Data pipelines9 %Hard skill
Calibration9 %Hard skill
Biases9 %Hard skill
Machine Learning Operations7 %Hard skill
Pruning7 %Hard skill
Inference optimization6 %Hard skill
APIs6 %Hard skill

Hard skills vs soft skills vs tools and certifications

Hard skills (24)

Soft skills (6)

Tools and software (9)

Certifications and licenses (1)

Keyword phrases recruiters use

Multi-word phrases that recur across these ai research scientist postings, with the share of postings that use each one.

open source 36 %foundation models 28 %post training 27 %collaborate closely 22 %model architectures 20 %neurip icml 19 %pytorch / jax 17 %model performance 16 %icml iclr 16 %deep expertise 16 %source contributions 15 %large models 14 %multimodal models 14 %iclr icml 12 %pytorch /tensorflow 12 %

How to use this on your resume

Treat the table as a checklist, not a script. Put the skills you genuinely have in your skills section, using the same wording as the posting, and back the top ones with a bullet that shows the result.

Each job posting differs from the average, so compare your resume with the actual ad: paste it into the resume keyword scanner to see which terms you already have and which are missing. The ATS keywords guide explains where to place them so applicant tracking systems read them.

Skip any skill you cannot talk about in an interview; a keyword that falls apart under one question costs more than it gains. For a full layout with these skills in context, see the AI Research Scientist resume example. Then prepare for the AI Research Scientist interview questions that test them.

Build a ai research scientist resume with these skills

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AI Research Scientist resume skills: FAQ

Which skills matter most for a AI Research Scientist resume?

In 81 AI Research Scientist job postings analysed on October 23, 2026, the most requested skills were PyTorch (64 %), Machine learning (62 %), Publication (60 %), Python (60 %) and LLMs (58 %). Lead your skills section with the ones you can back up, and show them in your experience bullets too.

Should I list soft skills on a AI Research Scientist resume?

Yes, but prove them rather than list them. 6 of the top 40 skills in these postings are soft skills, led by Communication (41 % of postings). Show them through results in your bullets, for example a project you coordinated or a process you explained.

Which tools and certifications do AI Research Scientist postings ask for?

The tools and certifications named most often were PyTorch (64 %), Python (60 %), LLMs (58 %), TensorFlow (20 %), Generative AI (20 %) and ACLS (15 %). List the ones you have exactly as the posting writes them.

Where does this data come from?

From 81 public AI Research Scientist job postings at 56 employers, collected on October 23, 2026 from Greenhouse (26), Lever (5) and Ashby (50). A skill's share is the number of postings that mention it divided by 81. The data is updated quarterly and can be downloaded as a CSV.

Method and data

Source: 81 public job postings for ai research scientist roles (titles such as AI Research Scientist, AI Researcher, Senior AI Researcher and Senior ML Research Scientist) at 56 employers, collected on October 23, 2026 from employer applicant tracking system job boards: Greenhouse 26, Lever 5 and Ashby 50. Employers in the sample include Nuro, Hudson River Trading, Recursion, LG Electronics, Hume AI and Logical Intelligence. A skill's share is the number of postings that mention it divided by 81. Updated quarterly. Download the data: ai-research-scientist-resume-skills.csv (CC BY 4.0). Browse skills for other roles.