Résumé keywords · Oct 2026
Machine Learning Engineer résumé keywords
We read 236 open Machine Learning Engineer job posts from 46 companies. The skills and tools they ask for most: Machine Learning (85%), Python (66%), LLM (57%).
- Employers also stress collaboration (58% of posts) and communication (38%) — show them through results, not adjectives.
- Waymo stands out: its Machine Learning Engineer posts mention Deep Learning and C++ far more than the average.
- O*NET flags Amazon Web Services AWS, Ansible, Apache Hadoop as in demand for this occupation.
Check your résumé against these keywords
Checked in your browser — your résumé isn’t uploaded or stored.
The top 30 Machine Learning Engineer keywords
Skills, tools and domains — share of job posts that mention each at least once. Soft skills are listed under “By type”.
Must-havein half or more of posts
- Machine Learning85%
- Python66%
- LLM57%
Commonin 25–49% of posts
- PyTorch43%
- Deep Learning32%
- TensorFlow29%
- Generative AI28%
Worth havingin 10–24% of posts
- A/B Testing22%
- C++21%
- AWS19%
- RAG18%
- Data Structures18%
- Observability18%
- SQL17%
- Apache Spark16%
- Security16%
- Statistics14%
- Computer Vision14%
- Marketplace14%
- Backend14%
- NLP11%
- Kubernetes11%
- GCP11%
- Go11%
- Distributed Systems10%
- LangChain10%
- Prompt Engineering10%
- Healthcare10%
By type
Skills
- Machine Learning 85%
- Python 66%
- LLM 57%
- Deep Learning 32%
- Generative AI 28%
- A/B Testing 22%
- C++ 21%
- RAG 18%
- Data Structures 18%
- Observability 18%
- SQL 17%
- Security 16%
- Statistics 14%
- Computer Vision 14%
Tools & software
- PyTorch 43%
- TensorFlow 29%
- AWS 19%
- Apache Spark 16%
- Kubernetes 11%
- GCP 11%
- LangChain 10%
- Airflow 9%
Soft skills
- Collaboration 58%
- Communication 38%
- Mentoring 23%
- Stakeholder Management 23%
- Ownership 21%
- Leadership 19%
- Problem Solving 9%
Domain knowledge
- Marketplace 14%
- Healthcare 10%
What hiring companies emphasise
Companies with the most open Machine Learning Engineer roles in our sample, and the terms they mention more than the average post.
Waymo
42 open roles
Deep Learning · C++ · PyTorch
Reddit
16 open roles
Healthcare · A/B Testing · BigQuery
Pinterest
14 open roles
SQL · Statistics · NLP
Airbnb
12 open roles
Security · Payments · Marketplace
Anthropic
11 open roles
Logistics · Fintech · LLM
Scale AI
10 open roles
Full Stack · TypeScript · LLM
Databricks
9 open roles
Excel · RAG · Apache Spark
Lyft
8 open roles
Marketplace · Go · Python
How to put these keywords in your résumé
A keyword counts most inside a bullet that proves it — an action, the tool, and a result. Real bullets from our example résumés:
- Python
Modelled customer lifetime value in SQL and Python, guiding a 20% shift of ad budget to high-value segments.
From the Data Analyst example · Ledger template → - A/B Testing
Analysed 40 A/B tests for the feed ranking team; 11 shipped, adding 6% to average watch time.
From the Data Analyst example · Ledger template → - C++
Built image-processing services in C++ handling 5M photos a day.
From the Machine Learning Engineer example · Zenith template → - AWS
Migrated 40 services from VMs to Kubernetes on AWS EKS with zero customer-facing downtime.
From the DevOps Engineer example · Compact template → - SQL
Trained 30 product managers in SQL basics, cutting ad-hoc data requests by a third.
From the Data Analyst example · Ledger template → - Apache Spark
Built streaming pipelines in Spark Structured Streaming delivering trip data within 2 minutes instead of next day.
From the Data Engineer example · Summit template →
The occupation: Computer and Information Research Scientists
Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.
Most important skills (O*NET, 1–5)
- Critical Thinking4.0
- Reading Comprehension3.8
- Active Listening3.8
- Speaking3.5
- Active Learning3.5
- Writing3.4
- Mathematics3.4
- Science3.1
In-demand technology
Software O*NET flags for this occupation as in demand by employers or “hot” across job postings.
- Amazon Web Services AWS
- Ansible
- Apache Hadoop
- Apache Kafka
- Apache Spark
- Bash
- C
- C++
- Docker
- Git
- GitHub
- Go
- Grafana Labs Grafana Cloud
- IBM Terraform
- JavaScript
- Jenkins CI
Machine Learning Engineer résumé keyword questions
- What keywords should a Machine Learning Engineer résumé include?
- The skills and tools Machine Learning Engineer job posts mention most are Machine Learning (85%), Python (66%), LLM (57%), PyTorch (43%), Deep Learning (32%), TensorFlow (29%), Generative AI (28%), A/B Testing (22%), C++ (21%), AWS (19%) — based on 236 open posts at 46 companies (Oct 2026). Include the ones you genuinely have, in your skills section and in the bullets that prove them.
- Which tools do Machine Learning Engineer job posts ask for?
- Most often: PyTorch (43% of posts), TensorFlow (29% of posts), AWS (19% of posts), Apache Spark (16% of posts), Kubernetes (11% of posts), GCP (11% of posts).
- Which soft skills matter for a Machine Learning Engineer?
- Job posts mention collaboration (58%), communication (38%), mentoring (23%), stakeholder management (23%), ownership (21%). Show them through results in your bullets rather than listing them.
- Should I add every keyword to my résumé?
- No. Add a keyword only if it's true for you — then show it in a bullet with a result. Applicant tracking systems match keywords, but a recruiter reads the résumé next, and unsupported buzzwords cost interviews.