Software Engineer, Research Tools

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.