Research Engineer, Model Evaluations - Remote-Friendly Impact

Menlo Ventures

San Francisco (CA)

On-site

USD 320,000 - 485,000

Full time

14 days+

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Benefits offered by this job

Generous vacation and parental leave
Flexible working hours
Lovely office space for collaboration

Job summary

Anthropic in New York City is seeking a Research Engineer to develop evaluations for Claude’s capabilities. The ideal candidate should have strong Python programming skills, experience with distributed systems, and the ability to communicate technical results effectively. Responsibilities include designing evaluations, building infrastructure for running evaluations, and debugging results during training runs. The role offers a hybrid work model and competitive compensation ranging from $320,000 to $485,000 USD.

Qualifications

  • Strong Python programming skills, including production or research infrastructure.
  • Experience building or operating distributed systems, data pipelines, or other infrastructure that needs to be reliable at scale.
  • Clear written and verbal communication, especially when explaining technical results to non-specialists.

Responsibilities

  • Design and run new evaluations of Claude’s capabilities.
  • Build the distributed eval execution platform.
  • Debug anomalous eval results mid-training-run.
  • Communicate evaluations and their results to stakeholders.

Skills

Python programming skills
Experience building distributed systems
Clear communication
Experience with large language models
Experience with data visualization

Education

Bachelor’s degree or equivalent

Tools

Data pipelines

Job description

Anthropic in New York City is seeking a Research Engineer to develop evaluations for Claude’s capabilities. The ideal candidate should have strong Python programming skills, experience with distributed systems, and the ability to communicate technical results effectively. Responsibilities include designing evaluations, building infrastructure for running evaluations, and debugging results during training runs. The role offers a hybrid work model and competitive compensation ranging from $320,000 to $485,000 USD.
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