4 hours ago
Responsibilities
- Build product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
- Develop vendor-facing workflows for creating, submitting, testing, and iterating on reinforcement learning environments and training data.
- Create dashboards and observability tools covering environment quality, evaluation results, data collection progress, and pipeline health.
- Design backend services and APIs connecting task authoring, data collection, evaluation, QA/QC, and reinforcement learning infrastructure.
- Partner with research, operations, and go-to-market teams to ship systems from ambiguous requirements.
Requirements
- At least 3 years of full-stack software engineering experience building and shipping production systems.
- Proficiency in Python and a modern web stack such as React, TypeScript, or Next.js.
- Experience owning user-facing or internal products end-to-end from design through deployment.
- Experience building backend services, APIs, and databases connecting multiple system components.
- Hands-on experience with cloud infrastructure, Docker, CI/CD pipelines, and production debugging.
- Experience building dashboards, monitoring tools, observability interfaces, data-inspection tools, review workflows, or quality-assessment interfaces.
- Strong ability to translate ambiguous requirements into shipped features and communicate across technical and non-technical stakeholders.
- Experience with data collection, labeling, annotation, or evaluation platforms is preferred.
- Familiarity with AWS, Kubernetes, Terraform, or Grafana in a product-shipping context is preferred.
- Experience building vendor-facing or partner-facing workflow products is preferred.
Benefits
- Full medical, dental, and vision coverage for US-based employees.
- 401k, commuter benefits, PTO, and a company-wide holiday break.
- Gym membership and access to leading AI development tools.
- Visa sponsorship and relocation support are available for strong full-time candidates moving to the US or Singapore.
- The primary office is in San Francisco, with a Singapore office also available; remote candidates are welcome with 70 to 80 percent time-zone overlap with San Francisco or Singapore.