Research, Safety
Thinking Machines Lab · San Francisco
CHECKED 13H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Shape refusal boundaries for frontier models from pre-training to deployment.
- Design safety evaluations for long-horizon and agentic model behavior.
- Red-team models to surface jailbreaks and emergent risks pre-launch.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Safety-minded researcher who loves digging into why models refuse or engage and making those boundaries reliable. You communicate clearly and thrive bridging deep research with hands-on experiments.
Requirements
- Bachelor's degree or equivalent in Computer Science, Machine Learning, Physics, Mathematics, or related discipline
- Background in AI safety research with hands-on experience in at least one safety area
- Proficiency in Python and familiarity with deep learning frameworks like PyTorch, TensorFlow, or JAX
- Comfort debugging distributed training and writing scalable code
- Clear written communication of complex technical concepts
- visa sponsorship
- We sponsor visas; committed to working through the visa process together
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