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About the Role
This role is at the intersection of product engineering and AI infrastructure, building tools and systems for a reinforcement learning data platform. You will own end-to-end product experiences, from frontend dashboards to backend services, enabling partners to create, evaluate, and iterate on RL training data. Your work will directly shape how researchers and operators understand model behavior and environment quality.
Responsibilities
- Build product-facing tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
- Develop vendor-facing workflows for external partners to create, submit, test, and iterate on RL environments and training data.
- Create dashboards and observability tools for environment quality, eval results, data collection progress, and pipeline health.
- Design backend services and APIs connecting task authoring, data collection, evaluation, QA/QC, and RL training infrastructure.
- Partner with research, operations, and go-to-market teams to ship well-designed systems quickly.
Requirements
- 3+ years of full-stack software engineering experience building and shipping production systems.
- Experience owning user-facing or internal products end-to-end, from design through deployment.
- Experience building backend services, APIs, and databases that connect multiple system components.
- Hands-on experience with cloud infrastructure, Docker, CI/CD pipelines, and production debugging.
- Experience building dashboards, monitoring tools, or observability interfaces for complex systems.
- Experience building tools for data inspection, review workflows, or quality assessment interfaces.
- High agency: ability to translate ambiguous requirements into shipped features without detailed specifications.
- Strong communication skills across technical and non-technical stakeholders.
Skills
- Python
- React
- TypeScript
- Next.js
- Cloud infrastructure
- Docker
- CI/CD pipelines
- Production debugging
- Data collection platforms
- Labeling platforms
- Annotation platforms
- Evaluation platforms
- AWS
- Kubernetes
- Terraform
- Grafana
Location
- San Francisco, CA
- Singapore
- Remote (with time zone overlap)
Work Type
- Full-time
- Remote
Experience Level
- 3+ years of full-stack software engineering experience
Benefits
- Competitive compensation
- Full medical, dental, and vision coverage (US-based employees)
- 401k
- Commuter benefits
- PTO
- Company-wide holiday break
- Gym membership
- Access to leading AI development tools
- Visa sponsorship
- Relocation support