ML Research and Engineering Recruitment USA
Specialist Recruiters for AI Labs, Foundation Model Teams, and Production ML Engineering
Specialist ML Recruitment, Built for AI's Hardest Hires
ML hiring in the US is harder than any other technical specialism in 2026. Demand outpaces supply 3.2 to 1, and average time-to-fill stretches to 142 days. Acceler8 Talent places senior ML researchers and engineers in a median 17-21 days, with 32+ placements made at Luminous Computing, Lightmatter, Cruise, Rain AI, Inflection AI, and PolyAI. Our consultants screen every candidate on production deployment evidence, not paper credentials.
ML Research, ML Engineering, MLOps, and Applied AI
We recruit across the four roles that drive production AI: research scientists publishing at NeurIPS and ICML, ML engineers shipping foundation models, MLOps engineers running production systems, and applied AI specialists building LLM and RAG pipelines. Average ML engineer base salaries reached $206,000 in 2025 with a further 7% Q1 2026 increase, and total comp at frontier labs reaches $500,000-$943,000 with equity. We've mapped passive talent networks across San Francisco, New York, Seattle, Boston, Austin, and Washington DC.
Our Sectors
Semiconductor & Chip Design
Software for ML Platforms
Silicon Photonics
High-Performance Computing
Machine Learning Compilers
Meet our ML Research and Engineering Recruitment Team
Build Your ML Team With Acceler8
Hiring ML researchers and engineers requires specialist sourcing, production verification, and counter-offer modeling against $500K+ equity packages from frontier labs. We've supported Cruise, Lightmatter, Inflection AI, and Luminous Computing through this exact process. Discover our embedded recruitment solution for multi-hire scaling, or work with us on a single search.
