Senior Software Engineer, Data Ingestion at Anthropic
San Francisco, California, USA -
Full Time


Start Date

Immediate

Expiry Date

07 Sep, 25

Salary

340000.0

Posted On

08 Jun, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT ANTHROPIC

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities

ABOUT THE ROLE

We are looking for a Senior Software Engineer to join the Data Acquisition team, which owns the problem of acquiring all of the available data on the internet through a large scale web crawler, and through data partnerships. Most of Anthropic’s research and product builds on top of the best pretrained models that we can produce, which in turn rely on having the best pretraining data. Successfully scaling our data corpus is critical to our continued efforts at producing the best pretrained models.

The team’s responsibilities are as follows:

  • Develop and maintain an internet scale web crawler responsible for crawling for accessible internet data
  • Build required pipelines to quickly ingest data from potential partners for data quality assessments or from other sources
  • Improve observability of the crawler systems
  • Build a set of 1-off deep crawlers to improve recall for data from especially beneficial sources

RESPONSIBILITIES:

  • Develop and maintain our large-scale web crawler
  • Build pipelines for data ingestion, analysis, and quality improvement
  • Build specialized crawlers for high-value data sources
  • Build tools for improving the observability and debuggability of crawler system
  • Collaborate with team members on improving data acquisition processes
  • Participate in code reviews and debugging sessions
Loading...