Software Engineer, Research Data Platform

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Research Data Platform team builds the tools researchers use to manage, query, and analyze the data that goes into training and evaluating frontier models. This role focuses on building data products — pipelines that move data out of training runs into queryable storage, and the APIs, libraries, and services researchers use to manage and explore it. Engineers on this team often embed with research teams and build ML-specific tooling alongside them.

Responsibilities

• Build and operate data pipelines that extract data from research training runs and land it in storage systems that are easy and fast to query
• Work closely with researchers to design and build APIs, libraries, and web interfaces that support data management, exploration, and analysis
• Develop dataset management, data cataloging, and provenance tooling that researchers use in their day-to-day work
• Embed with research teams to understand their workflows, identify high-leverage tooling opportunities, and ship solutions quickly
• Collaborate with adjacent teams to build on existing systems rather than reinventing them

Requirements

• Significant software engineering experience, particularly building data-intensive applications or internal tooling
• Comfortable working directly with users, gathering requirements iteratively, and shipping tools that get adopted
• Results-oriented with a bias towards flexibility and impact; willing to pick up slack even if it goes outside a narrow job description
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: a field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: will correlate with internal job level requirements for the position
• Location-based hybrid policy: staff are expected to be in one of the offices at least 25% of the time
• Visa sponsorship: Anthropic states they do sponsor visas and retain an immigration lawyer to assist where possible

Strong candidates may also have experience with

• Large-scale ETL, columnar storage formats, and query engines (examples called out: Spark, BigQuery, DuckDB, Parquet)
• High-volume time series data — ingestion, storage, and efficient querying
• Data cataloging, lineage, or metadata management systems
• ML experiment tracking or metrics platforms
• Working in environments where engineers partner closely with quantitative users (research labs, trading firms, observability/analytics startups)
• Complex data visualization and full-stack web application development

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a collaborative office space.

How we're different

Anthropic focuses on large-scale, high-impact AI research and values collaboration, communication, and working as a cohesive team on a few major research efforts. The company emphasizes the societal and ethical implications of its work and encourages diverse perspectives.