Software Engineer, Research Tools
Thinking Machines Lab · San Francisco · New York
CHECKED 11H AGO
Frontier labonsite$300k–$350k
At a glance
Highlights
- Own the internal platform researchers use daily to monitor training and evals.
- Build evaluation frameworks, training systems, and trajectory visualization tools.
- Turn researchers' biggest bottlenecks into reliable, delightful systems.
What they offer
- Generous health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support as needed
Ideal candidate
A product-minded full-stack generalist with 2+ years experience who loves partnering with researchers. You have strong judgment, thrive in small teams, and care about building delightful tools that compound research velocity.
Requirements
- Bachelor's degree or equivalent practical experience in computer science, engineering, machine learning, or related field
- 2 years of post-grad work experience as a software engineer or ML engineer, exclusive of internships
- Strong software engineering fundamentals and experience building reliable, maintainable systems
- Proficiency in at least one backend programming language (primarily Python and Rust)
- Experience with databases, data warehouses (Clickhouse), caching systems such as Redis, and other data infra
- Comfort working across the stack and owning projects from discovery through deployment and operation
- Experience collaborating with cross-functional partners and subject-matter experts
- 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