Anthropic

3 months ago

Full-Stack Software Engineer, Reinforcement Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We’re seeking a full-stack software engineer in reinforcement learning to build platforms, tools, and UIs that power environment creation, data collection, and training observability. Own end-to-end product surfaces—from backend services and APIs to web interfaces used by researchers, vendors, and data labelers—shipping polished, reliable features in a fast-moving RL environment.

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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 let external partners 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 that surface reward signal integrity issues early.
•Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking.
•Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure.

Pay and Benefits

Salary: USD 300,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveEquity

Key Requirements

•Strong software engineering fundamentals with real full-stack range from database schema to frontend; able to own a surface end-to-end.
•Proficient in Python and a modern web stack (React, TypeScript, or similar).
•Track record of shipping systems that solved a hard problem and made the team faster.
•Operate with high agency: identify what needs to be done and drive it forward without waiting for a ticket.
•Care about UX and build interfaces intuitive for both technical researchers and non-technical labelers.

Experience:AIMachine learningReinforcement learning

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationOwnershipUxUser empathyTeamwork

Languages:English

Tech Stack:PythonReactTypeScriptDockerCI/CDGCPAWSCloud

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn

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Anthropic

3 months ago

Full-Stack Software Engineer, Reinforcement Learning

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco, New York

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Key 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 let external partners 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 that surface reward signal integrity issues early.
•Build evaluation dashboards and observability UIs that give researchers real-time insight into environment quality, training run health, and reward hacking.
•Create backend services and APIs that connect environment authoring tools, data collection systems, and RL training infrastructure.

Pay and Benefits

Salary: USD 300,000 - 405,000 annually

Equity and Bonus:Equity

Perks:Paid LeaveParental LeaveEquity

Key Requirements

•Strong software engineering fundamentals with real full-stack range from database schema to frontend; able to own a surface end-to-end.
•Proficient in Python and a modern web stack (React, TypeScript, or similar).
•Track record of shipping systems that solved a hard problem and made the team faster.
•Operate with high agency: identify what needs to be done and drive it forward without waiting for a ticket.
•Care about UX and build interfaces intuitive for both technical researchers and non-technical labelers.

Experience:AIMachine learningReinforcement learning

Education:Bachelor's

Skills:CommunicationProblem-solvingCollaborationOwnershipUxUser empathyTeamwork

Languages:English

Tech Stack:PythonReactTypeScriptDockerCI/CDGCPAWSCloud

Company Brief

Anthropic

Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.

Industry: AI & Machine Learning

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series C

Headquarters: San Francisco, United States

Founded: 2021

Website LinkedIn