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Senior Full-Stack Engineer (Reinforcement Learning Data Platform)

Clara • United States
Visa Sponsorship Relocation
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Build product interfaces, backend systems, and internal tools for a reinforcement learning data platform. Develop tools for data inspection, quality review, and observability dashboards. Requires 3+ years of full-stack engineering experience with Python, modern web stacks, and AI/ML expertise.

Key Highlights
3+ years full-stack engineering experience required
Python and modern web stack (React/TypeScript/Next.js) proficiency
Hands-on experience with AI/ML or reinforcement learning
Key Responsibilities
Develop tools for data inspection, quality review, and model behavior understanding
Build partner workflows for creating, testing, and iterating on reinforcement learning environments
Create dashboards and observability tools for environment quality and pipeline health
Design backend services and APIs for task authoring, data collection, and training infrastructure
Collaborate with cross-functional teams to deliver polished products
Technical Skills Required
Python Full-Stack Development Machine Learning
Benefits & Perks
Visa sponsorship available
Relocation support for qualified full-time candidates
Base salary range: $130,000 to $225,000 USD annually
Nice to Have
AWS, Kubernetes, Terraform, and Grafana experience
Experience with data labeling and evaluation tools

Job Description

About the Role

Build product interfaces, backend systems, and internal tools for a reinforcement learning data platform. You will own experiences that help research teams and external partners create, evaluate, and improve training data, working closely with research, operations, and go-to-market teams.

What You'll Do

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