Research, Safety
Thinking Machines Lab · San Francisco
Frontier labonsite$350k–$475k
At a glance
Highlights
- Study how models handle harmful requests and shape refusal boundaries.
- Build safety evals for long-horizon agentic tasks and red-team models.
- Shape pre-training data and fine-tuning to improve model trustworthiness.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A safety-minded researcher fascinated by why models refuse or engage and driven to make them trustworthy. You thrive on hands-on experimentation and clear communication.
Requirements
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
- Background in AI safety research with hands-on experience in RLHF/RLAIF, alignment and preference modeling, evaluations, or red-teaming
- Proficiency in Python and familiarity with deep learning frameworks such as PyTorch, TensorFlow, or JAX
- Comfort debugging distributed training and writing code that scales
- Clarity in communication with ability to explain complex technical concepts in writing
- 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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