Software Engineer, Research Tools
Thinking Machines Lab5 hours ago
Base Salary
$300k - $475k/yr
Responsibilities
- Design, build, and maintain research infrastructure including evaluation frameworks, training systems, experiment-tracking platforms, and visualization tools.
- Develop end-to-end solutions across backend systems, data pipelines, and user-facing applications.
- Partner directly with researchers to identify bottlenecks, gather feedback, prioritize work, and measure adoption.
- Build reproducible and traceable systems with robust quality control, monitoring, and observability for research experiments and model training runs.
Requirements
- Bachelor’s degree or equivalent practical experience in computer science, engineering, machine learning, or a related field.
- At least two years of post-graduate software engineer or ML engineer experience, excluding internships.
- Strong software engineering fundamentals and experience building reliable, maintainable systems.
- Proficiency in at least one backend programming language, with Python and Rust used primarily.
- Experience with databases, ClickHouse data warehouses, Redis or similar caching systems, and other data infrastructure.
- Comfort working across the stack and owning projects from initial discovery through deployment and operation.
- Experience collaborating with cross-functional partners and subject-matter experts.
- Preferred qualifications include building researcher tools, developer productivity systems, technical products, polished user-facing applications, ML research infrastructure, or products on small teams.
Benefits
- Generous health, dental, and vision benefits.
- Unlimited paid time off and paid parental leave.
- Relocation support as needed.
- Visa sponsorship is available.
- The role is based in San Francisco, California.
Tech Stack
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