10 hours ago
Base Salary
$130k - $225k/yr
Responsibilities
- Develop tools for browsing environments, inspecting trajectories, reviewing task quality, and understanding model behavior.
- Build partner workflows for creating, submitting, testing, and improving 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 infrastructure.
- Collaborate with research, operations, and go-to-market teams to ship and improve systems.
Requirements
- At least 3 years of full-stack software engineering experience building and shipping production systems.
- Hands-on experience with AI, machine learning, or reinforcement learning.
- 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, with practical knowledge of cloud infrastructure, Docker, CI/CD, and production debugging.
- Experience building dashboards, monitoring or observability interfaces, data inspection tools, review workflows, or quality assessment products.
- Experience with data collection, labeling, annotation, or evaluation platforms is valuable; AWS, Kubernetes, Terraform, Grafana, developer tools, and partner-facing workflows are also relevant.
Benefits
- Base salary of $130,000 to $225,000 annually.
- Visa sponsorship and relocation support are available for strong full-time candidates moving to the United States or Singapore.
- On-site in San Francisco, California, with possible remote work for candidates able to maintain substantial time zone overlap with San Francisco or Singapore.