Research, Post-Training Evals
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Create internal evals measuring capabilities that guide frontier model research.
- Build agentic eval environments and user simulators for long-horizon tasks.
- Turn eval insights into better data and training signals via data flywheel.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Empirically grounded researcher obsessed with trustworthy measurement who turns ambiguous model behavior into clear signals that improve frontier models.
Requirements
- Bachelor's degree or equivalent experience in CS, ML, Physics, Math or related discipline
- Experience designing, building, or analyzing evaluations, benchmarks, datasets or graders
- Strong written and verbal communication skills with ability to collaborate across teams
- visa sponsorship
- We sponsor visas
Lab profile
About Thinking Machines Lab
Builds frontier AI that extends human will and judgment through customizable models and interfaces.
What they build
- Inkling frontier models
- Tinker model customization
- Human-AI communication interfaces
Known for
- Frontier model training
- Post-training and reinforcement learning
- Evaluation infrastructure
- GPU supercomputing and reliability
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