Product Engineer at Bespoke Labs building interfaces and infrastructure for RL environment curation. Collaborating with researchers to create intuitive dashboards and scalable solutions.
Responsibilities
Build intuitive dashboards where environment engineers can upload, manage, and monitor their RL environments.
Create visualization tools that make complex metrics -- environment quality, difficulty levels, training progress -- clear and actionable.
Develop the backend infrastructure for scalable hosting and evaluation of RL environments.
Design and implement APIs that let researchers programmatically interact with the platform.
Work directly with our research team to understand their workflows and translate needs into product features.
Own the full stack, from database design to frontend polish, ensuring the platform is both powerful and pleasant to use.
Establish best practices for testing, deployment, and monitoring as we scale.
Requirements
2+ years of full-stack development experience with strong fundamentals in both backend and frontend
Proficiency in Python and modern web frameworks
Experience with cloud platforms (GCP, AWS) and distributed systems
Strong experience with CI/CD, testing, and production monitoring
Ability to ship working prototypes quickly, then iterate toward production quality
Good instincts for what makes software easy and enjoyable to use, particularly for technical users
Ability to make product decisions with incomplete information—deciding what to build and what to defer
Comfortable working closely with users (in this case, researchers) to understand pain points and validate solutions
Experience designing systems that can start simple and scale as needs grow.
Benefits
Health coverage
Flexible work arrangements
Opportunity to help define a new product category in AI infrastructure
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