Anthropic · 3 hours ago
Full Stack Software Engineer, Reinforcement Learning
Anthropic is a public benefit corporation dedicated to creating reliable and beneficial AI systems. The Full Stack Software Engineer will build platforms and tools for reinforcement learning, focusing on creating high-quality training data and providing interfaces for researchers and vendors.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Build and extend web platforms for RL environment creation, management, and quality review — including environment configuration, versioning, and validation workflows
Develop vendor-facing interfaces and tooling that enable external partners to create, submit, and iterate on training environments with minimal friction
Design and implement platforms for human data collection at scale, including labeling workflows, quality assurance systems, and feedback mechanisms
Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward signal integrity
Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure
Build and expand scalable code data generation pipelines, creating diverse programming tasks with robust reward signals across languages and difficulty levels
Develop onboarding automation and documentation tooling so new vendors and internal users can ramp up quickly
Collaborate with RL researchers, data operations, and vendor management teams to translate their needs into well-designed product experiences
Qualification
Required
Have strong software engineering fundamentals with full-stack experience
Are proficient in Python and modern web frameworks (React, TypeScript, or similar)
Have experience building and shipping user-facing products, internal tools, or developer platforms
Can own a product surface end-to-end — backend, frontend, API design, database schema
Have experience with relational databases, API design patterns, and authentication/authorization systems
Care about UX and can build interfaces that are intuitive for both technical and non-technical users
Communicate clearly with researchers, operations teams, and engineers and can translate ambiguous requirements into well-scoped work
Are motivated by building excellent platforms
Operate with high agency: you identify what needs to be done and drive it forward independently
Thrive in a fast-paced environment where priorities shift and new problems emerge regularly
Care about Anthropic's mission to build safe, beneficial AI and want your work to contribute to that goal
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience
Preferred
Experience building data collection, labeling, or annotation platforms
Background building multi-tenant platforms with role-based access and vendor management workflows
Experience with cloud infrastructure (GCP or AWS), Docker, and CI/CD pipelines
Familiarity with LLM training, fine-tuning, or evaluation workflows
Experience with async Python frameworks (Trio, asyncio) or high-throughput API design
Background building dashboards, monitoring, or observability tooling
Experience working with external vendors or partners on technical integrations
Benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
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