RL Research Engineer — Scalable, Safe AI for LLMs

Anthropic Limited

City Of London

Hybrid

GBP 260.000 - 630.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Benefits dieser Stelle

Competitive compensation
Equity donation matching
Generous vacation
Parental leave
Flexible working hours
Office space

Zusammenfassung

Anthropic Limited is seeking a Research Engineer in Reinforcement Learning to advance large language models with a focus on safety and reliability. You will implement novel approaches, prototype tools for internal use, and contribute to research directions while collaborating with researchers and engineers across teams to push the boundaries of AI capability.

The role blends research and engineering responsibilities, requires strong Python skills, experience with ML frameworks, and a passion for

Qualifikationen

  • Bachelor’s degree in a relevant field.
  • Experience in ML research.
  • Strong Python and software engineering fundamentals.
  • Ability to balance research with engineering tasks.

Aufgaben

  • Architect and optimize RL infrastructure and experiment management.
  • Design training environments and evaluation methodologies for RL agents.
  • Improve performance through profiling and distributed system debugging.
  • Collaborate across research and engineering teams to accelerate AI research.

Kenntnisse

Python
Async Programming
ML Frameworks
Pair Programming
Code Quality
Systems Design
AI Safety
Communication Skills

Ausbildung

Bachelor's degree

Tools

Kubernetes
Rust
C++

Jobbeschreibung

Anthropic Limited is seeking a Research Engineer in Reinforcement Learning to advance large language models with a focus on safety and reliability. You will implement novel approaches, prototype tools for internal use, and contribute to research directions while collaborating with researchers and engineers across teams to push the boundaries of AI capability.

The role blends research and engineering responsibilities, requires strong Python skills, experience with ML frameworks, and a passion for

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