Research Engineer resume keywords
Core keywords are the skill list on the Research Engineer resume example.
See the matching Research Engineer resume example. For which applicant tracking systems large employers use, read the State of ATS 2026 report.
Check your Research Engineer resume
The ATS checker opens with Research Engineer filled in as the target role, along with the keyword list on this page. Paste your resume there. Free, no signup.
Counted on 2026-10-10 from 61 public job postings whose titles match Research Engineer. Those postings came from Ashby, Greenhouse, and SmartRecruiters. A posting is counted for this role when the longest published job-title phrase in its title is Research Engineer. The crawl queried Greenhouse, Lever, Ashby, and SmartRecruiters for 133 employers in the State of ATS 2026 dataset that use those vendors, and for 279 additional public boards from the extended coverage tier. The extended boards are not part of the 738-company statistics. 361 boards returned postings out of 412 boards attempted, and 46923 postings were scanned. HTML was stripped before counting, and each posting counts once per term. Phrases beyond the published skill list are the most common two- and three-word phrases in the matched postings. Posting text is not stored. A role page shows these percentages only when at least 30 descriptions were counted.
These are the terms to put on the resume when they match work you have done.
- PyTorch
43% of 61 recent postings mention PyTorch.
- deep learning
21% of 61 recent postings mention deep learning.
- distributed training
21% of 61 recent postings mention distributed training.
- JAX
26% of 61 recent postings mention JAX.
- CUDA
8% of 61 recent postings mention CUDA.
- experimentation
18% of 61 recent postings mention experimentation.
- model architecture
3% of 61 recent postings mention model architecture.
- Python
52% of 61 recent postings mention Python.
- reproducibility
3% of 61 recent postings mention reproducibility.
- benchmarking
8% of 61 recent postings mention benchmarking.
- Weights & Biases
0% of 61 recent postings mention Weights & Biases.
- paper implementation
0% of 61 recent postings mention paper implementation.
The skills catalog does not name extra terms for this role. The core list above is the published skill list.
These phrases showed up often in the matched postings and are not already on the published skill list.
- large scale
69% of 61 recent postings mention large scale.
- research engineer
66% of 61 recent postings mention research engineer.
- computer science
64% of 61 recent postings mention computer science.
- never ask
56% of 61 recent postings mention never ask.
- machine learning
54% of 61 recent postings mention machine learning.
- research directions
52% of 61 recent postings mention research directions.
- application process
51% of 61 recent postings mention application process.
- diverse perspectives
51% of 61 recent postings mention diverse perspectives.
- amp compute concrete
49% of 61 recent postings mention amp compute concrete.
- annual base
49% of 61 recent postings mention annual base.
- anthropic anthropic
49% of 61 recent postings mention anthropic anthropic.
Where to place them
- 1
Headline
Put the target title and two core terms on the line under your name: Research Engineer | PyTorch | deep learning.
- 2
Skills
List the core terms together in the skills section: PyTorch, deep learning, distributed training, JAX, CUDA, experimentation, model architecture, Python, reproducibility, benchmarking, Weights & Biases, paper implementation.
- 3
Experience
Use PyTorch, deep learning, distributed training inside bullets for work you did in this role, next to the result.
These lines are already published on the Research Engineer resume example. Use them as a pattern for where a keyword sits next to a result, and replace the details with your own.
- Reproduced and open-sourced 6 state-of-the-art model architectures, accelerating the research team's iteration cycle 3x
- Built a distributed-training framework in JAX scaling to 256 TPUs with 92% linear scaling efficiency
- Optimized a custom CUDA attention kernel for a 2.4x speedup, cutting experiment turnaround from 5 days to 2
- Co-authored a NeurIPS paper and translated its prototype into production, improving model accuracy 6.1 points
Questions about Research Engineer keywords
What keywords should a Research Engineer resume include?
Core keywords for a Research Engineer resume are PyTorch, deep learning, distributed training, JAX, CUDA, experimentation, model architecture, Python, reproducibility, benchmarking, Weights & Biases, paper implementation. Core keywords are the skill list on the Research Engineer resume example. Percentages are the share of 61 public postings fetched on 2026-10-10 whose titles match this role.
Where should Research Engineer keywords go on a resume?
Headline: Put the target title and two core terms on the line under your name: Research Engineer | PyTorch | deep learning. Skills: List the core terms together in the skills section: PyTorch, deep learning, distributed training, JAX, CUDA, experimentation, model architecture, Python, reproducibility, benchmarking, Weights & Biases, paper implementation. Experience: Use PyTorch, deep learning, distributed training inside bullets for work you did in this role, next to the result.
How do I check a Research Engineer resume?
Open the free ATS checker with Research Engineer prefilled, paste your resume, and compare it with the keyword list on this page.