ML Engineer — Constitutional AI & Safety Systems

Best AI Tools Wiki

San Francisco (CA)

Hybrid

USD 180.000 - 300.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Significant equity
Annual education stipend
Sabbatical after 4 years
Parental leave

Zusammenfassung

Anthropic is hiring an ML Engineer to build and scale Constitutional AI training systems and evaluation frameworks for the Claude family. You will implement novel training methodologies and optimize feedback loops that improve safety and usefulness.

This role demands strong Python and PyTorch/JAX skills, experience with RLHF or related preference learning, and solid software engineering practices. You will work in SF, contributing to cutting-edge AI safety research and scalable systems.

Qualifikationen

  • 4+ years of ML engineering experience
  • Proficiency in Python and PyTorch/JAX
  • Experience with RLHF, DPO, or preference learning
  • Understanding of language model training pipelines
  • Strong software engineering practices

Aufgaben

  • Build and scale Constitutional AI training systems
  • Implement novel training methodologies
  • Develop evaluation frameworks for AI models
  • Optimize feedback loops to improve safety and helpfulness of Claude

Jobbeschreibung

Anthropic is hiring an ML Engineer to build and scale Constitutional AI training systems and evaluation frameworks for the Claude family. You will implement novel training methodologies and optimize feedback loops that improve safety and usefulness.

This role demands strong Python and PyTorch/JAX skills, experience with RLHF or related preference learning, and solid software engineering practices. You will work in SF, contributing to cutting-edge AI safety research and scalable systems.

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