Research Engineer, Knowledge FoundationsActive$350K

Hybrid · San Francisco, CATechnology

The opportunity

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.

What they're looking for

  • Own a clean, canonical set of evaluation tools and processes for Knowledge: Work capabilities, including the process used for model releases
  • Build and automate observability, dashboards, and operational tooling for our: training environments and evaluation systems, with an emphasis on high signal-to-noise: a small set of trusted metrics and alerts rather than sprawling instrumentation
  • Are a highly experienced Python engineer who ships reliable,: well-instrumented code that teammates trust in production
  • Experience designing, running, and analyzing ML experiments