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Staff+ Research Engineer

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Staff+ Research Engineer in USA

  • Anthropic
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Design, build, and operate feedback and data collection interfaces for human annotators, domain experts, and internal researchers.
  • Build and maintain backend services, APIs, and data pipelines that route model samples to humans and return structured feedback for training.
  • Own the reliability, latency, and usability of systems operating continuously against live model endpoints.
  • Partner with RL researchers to translate changing data needs into collection campaigns and supporting tools.
  • Build dashboards, monitoring, and inspection tools for researchers to evaluate data quality and throughput.
  • Identify and remove bottlenecks between desired data collection and inclusion in the training mix.

Requirements

  • Strong full-stack engineering skills with production experience in TypeScript/React on the frontend and Python on the backend.
  • Experience designing and operating backend services and data pipelines relied upon by other teams.
  • Track record of owning projects end to end from ambiguous briefs through production.
  • Ability to work directly with technical stakeholders whose needs change frequently and exercise judgment about what to build.
  • Effective use of AI tools in day-to-day work and consideration of the societal impacts of the work.
  • Preferred: experience with annotation, labeling, evaluation, human-in-the-loop data tooling, RLHF, preference data, researcher-facing tools, data collection experiments, crowdworker or expert vendor platforms, and LLM training and evaluation.

Benefits

  • Hybrid work with staff expected to be in an office at least 25% of the time.
  • Visa sponsorship may be available, with immigration lawyer support.
  • Competitive benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration space.

Salary: $500k - $850k/yr

Anthropic

Anthropic builds AI systems that are reliable, interpretable, and steerable, with a commitment to ensuring their safety and benefit to users and society. Our work is driven by a dedicated team of researchers, engineers, and policy experts focused on the development of beneficial AI solutions.

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