Staff Software Engineer, RL Data Platform

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation & benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office in San Francisco

Job summary

Anthropic is seeking an experienced engineer to join the RL Data Platform team in a hybrid San Francisco setting. You will own full-stack data interfaces, back-end services, and data pipelines used by RL researchers to collect and feed high-quality human data into training.

You’ll design, ship, and operate systems that support large-scale annotations and model evaluation. You will work with researchers to understand data needs, ship reliable data tooling, and ensure data quality and

Qualifications

• Strong full-stack skills with production experience in TS/React frontend and Python backend.
• Experience designing and operating backend services and data pipelines.
• A track record of owning projects end-to-end from brief to production.
• Comfort collaborating with technical stakeholders and researchers.
• Experience using AI tools in daily work.
• Interest in the societal impacts of AI.

Responsibilities

• Design, build, and operate the feedback and data collection interfaces for annotators and researchers.
• Develop backend services, APIs, and pipelines that route model samples and collect data.
• Maintain reliability, latency, and usability of live systems.
• Translate research data needs into well-scoped data collection campaigns.
• Create dashboards and inspection tools to monitor data quality and throughput.
• Identify bottlenecks between data requests and training integration.

Skills

Full-stack engineering

TypeScript/React

Python

Backend services

Data pipelines

Ownership of projects

AI tool usage

Societal impact awareness

Education

Bachelor’s degree

Job description

Anthropic is seeking an experienced engineer to join the RL Data Platform team in a hybrid San Francisco setting. You will own full-stack data interfaces, back-end services, and data pipelines used by RL researchers to collect and feed high-quality human data into training.

You’ll design, ship, and operate systems that support large-scale annotations and model evaluation. You will work with researchers to understand data needs, ship reliable data tooling, and ensure data quality and