New AI postings mentioning Benchmarking per week — 166 total over 12 weeks.
293 active AI roles across 73 companies mention Benchmarking. Category: ML Ops & Evaluation.
Benchmarking is a skill in the "ML Ops & Evaluation" category. It currently appears in 293 active AI roles across 73 companies in our index.
The top employers with active AI roles mentioning Benchmarking are: NVIDIA (61), Amazon (38), Google (18), Microsoft (13), OpenAI (8).
Over the last 12 weeks, 166 new AI postings mentioned Benchmarking. Demand is rising — up 200% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Benchmarking are concentrated in: serving infrastructure (44%), agents (22%), post-training (11%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention Benchmarking most often also require: Machine Learning, Computer Architecture, Python, Production ML Systems, GPU Computing.
7 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| Machine Learning Engineer II, Computer Vision Applied Science | Consumer | 9 | L2 | |
| Staff Research Engineer, Post-training & Evaluation | Consumer | 9 | L2 | |
| Uber | Senior Applied Scientist – AI Red Teaming & Model Risk | Consumer | 9 | L5 |
| Spotify | Senior Machine Learning Engineer - Content Intelligence | Consumer | 8 | L4 |
| Uber | Program Lead: Product Operations - AI Observability | Consumer | 8 | L4 |
| Sr. Machine Learning Engineer, Responsible AI– Applied Research Science | Consumer | 8 | L2 | |
| Snap | Computer Architecture Intern | Consumer | 7 | L3 |