Research Data Platform Engineer

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

Job summary

Anthropic is seeking a Software Engineer for its Research Data Platform in San Francisco. You will build data pipelines and APIs that empower researchers to manage, query, and analyze training data and experiments. The role sits close to the research workflow, embedding with teams to ship practical data tooling.

Strong candidates are experienced in data-intensive software, have a user-centric mindset, and want to work on ML research tooling that scales across experiments and models.

Qualifications

• Significant software engineering experience building data-heavy applications.
• Experience embedding with researchers or users and gathering requirements.
• Interest in machine learning research and data tooling.

Responsibilities

• Build and operate data pipelines that extract data from research runs and land it in queryable storage.
• Design and build APIs, libraries, and web interfaces for data management and exploration.
• Develop dataset management, cataloging, and provenance tooling used daily by researchers.
• Embed with research teams to understand workflows and ship high-leverage tooling.
• Collaborate with adjacent teams to extend existing systems rather than reinventing them.

Skills

Software engineering

Data-intensive apps

User interaction

API design

Education

Bachelor's degree

Tools

Spark

BigQuery

DuckDB

Parquet

Job description

Anthropic is seeking a Software Engineer for its Research Data Platform in San Francisco. You will build data pipelines and APIs that empower researchers to manage, query, and analyze training data and experiments. The role sits close to the research workflow, embedding with teams to ship practical data tooling.

Strong candidates are experienced in data-intensive software, have a user-centric mindset, and want to work on ML research tooling that scales across experiments and models.