Job Description

Responsibilities

• Develop interfaces for browsing environments, inspecting model trajectories, reviewing task quality, and understanding model behavior.
• Build workflows for external partners to create, submit, test, and improve reinforcement learning environments and training data.
• Create dashboards and observability tools for environment quality, evaluation results, data collection progress, and pipeline health.
• Design backend services and APIs connecting task authoring, data collection, evaluation, quality review, and training systems.
• Collaborate with research, operations, and go-to-market teams to ship and improve products.

Requirements

• At least 3 years of experience building and shipping production full-stack software.
• Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.
• Hands-on experience with AI, machine learning, or reinforcement learning and end-to-end ownership of user-facing or internal products.
• Experience building data inspection, review, quality assessment, dashboard, or observability tools.
• Experience with backend services, APIs, databases, cloud infrastructure, Docker, CI/CD, and production debugging.
• Clear communication skills and ability to work across technical and non-technical teams.
• Experience with AWS, Kubernetes, Terraform, Grafana, developer tools, partner workflows, or data collection and evaluation platforms is a plus.

Benefits

• Health coverage, paid time off, and retirement benefits.
• Visa sponsorship is available for qualified full-time candidates.
• On-site role in San Francisco, California.

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