Research, Vision Expertise
Thinking Machines Lab · San Francisco
CHECKED 12H AGO
Frontier labonsite$350k–$475k
At a glance
Highlights
- Advance visual perception and multimodal learning for frontier AI models.
- Design architectures that fuse pixels and text at scale.
- Create multimodal systems for seamless real-world integration.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
Curious researcher-engineer fascinated by how vision and language interact, who loves blending deep theory with hands-on experimentation to teach AI to see and collaborate.
Requirements
- Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor
- Understanding of machine learning fundamentals, large-scale training, and distributed compute environments
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX)
- Comfortable with debugging distributed training and writing code that scales
- Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline
- Clarity in communication, an ability to explain complex technical concepts in writing
- visa sponsorship
- We sponsor visas
- hiring process
- Evergreen role reviewed continuously as new opportunities open
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