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Anthropic

Software Engineer, Research Data Platform

Anthropic · San Francisco, CA | New York City, NY

Posted about a month ago

or apply directly on Anthropic's site. We never take the application ourselves.

Is this posting real?

This role has been open
30 days
Anthropic's roles stay open a median of 40 days
Reposted
No
Salary listed
No
0% of Anthropic's roles list one
Ghost-job risk at Anthropic
high
276 stale, 19 reposted of 603 open
Hiring momentum
795 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Anthropic's own greenhouse board since 2026-08-03. Full hiring picture for Anthropic.

About this role

As a Software Engineer on the Research Data Platform team at Anthropic, you will build and operate data pipelines for research training runs, design APIs and tools for data management, and collaborate closely with researchers to enhance their workflows. This role emphasizes user interaction and the development of internal tools that facilitate data exploration and analysis, while leveraging existing infrastructure rather than starting from scratch.

Our read on this posting3.0out of 5
benefits
3/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Anthropic as an employer.

What you need

  • Significant software engineering experience, particularly building data-intensive applications or internal tooling
  • Enjoy working directly with users, gathering requirements iteratively, and shipping things that get adopted
  • Results-oriented with a bias towards flexibility and impact
  • Ability to pick up slack, even if it goes outside your job description
  • Desire to learn more about machine learning research
  • Care about the societal impacts of your work

Nice to have

  • Experience with large-scale ETL, columnar storage formats, and query engines (e.g., Spark, BigQuery, DuckDB, Parquet)
  • Experience with high-volume time series data — ingestion, storage, and efficient querying
  • Experience with data cataloging, lineage, or metadata management systems
  • Experience with ML experiment tracking or metrics platforms
  • Experience working in environments where engineers partner closely with quantitative users — research labs, trading firms, observability or analytics startups

What you get

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space for collaboration

Worth weighing

  • No specific mention of required years of experience or education details beyond a Bachelor's degree
  • Visa sponsorship is available but not guaranteed for every role or candidate
  • The role involves close collaboration with researchers, which may require adapting to their workflows and needs

Summarised from Anthropic's posting. Read the full original.

Listed by Anthropic on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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