17 hours ago
Base Salary
$130k - $225k/yr
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.