Collinear AI
MTS - Research
$160K–$400K
Sunnyvale, California +1 · On-site · Full-time · Posted Apr 30, 2026
- Location
- Sunnyvale, California
San Francisco, CA - Education
- Bachelor’s, Master’s, or PhD in a technical field, or demonstrated proof of work through significant open-source contributions or industry experience.
About the job
Build research infrastructure, simulated environments, and evaluations that help frontier AI labs train and stress-test advanced agents.
What you'll do
- Design and implement realistic, long-horizon agent simulation environments.
- Develop policy-aware verification and evaluations, analyze model failures, and build scalable data pipelines.
- Run post-training experiments (CPT, SFT, RL) and collaborate with founders and researchers on the roadmap.
What they ask for
- Bachelor’s, Master’s, or PhD in a technical field, or demonstrated proof of work through significant open-source contributions or industry experience.
- Strong software engineering foundation and ability to build robust, scalable infrastructure in a Python-friendly, CLI-first environment.
- Principled understanding of foundation models, including their construction, evaluation, and optimization.
- Experience conducting research or technical experiments with reproducible, data-driven results.
Nice to have
- Experience with RLHF/RLAIF, simulation systems, or long-horizon agentic environments.
- Influential ML research contributions (e.g., NeurIPS, ICLR, ICML), high-impact open-source projects, or large-scale model post-training experience.
Pay
$160,000 to $400,000 per year (base salary)
Tools
Python, CPT, SFT, RL, RLHF/RLAIF
AI focus
Develop agentic environments, verification and evaluation systems, and data pipelines; analyze model failures and run post-training to improve frontier AI agent capability and reliability.
Model-written summary · the original posting is authoritative