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Research Engineer in Machine Learning - RL Velocity

AnthropicLondon, UK
On-site Full-time

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Experience Level

Experience

Qualifications

Strong background in Computer Science, Mathematics, or related fields. Experience with machine learning frameworks and programming languages such as Python. Familiarity with reinforcement learning concepts and algorithms. Excellent problem-solving skills and a passion for artificial intelligence.

About the job

Anthropic seeks a Research Engineer specializing in Machine Learning, with a focus on Reinforcement Learning (RL Velocity), for its London office. This role supports ongoing AI research and contributes to building advanced machine learning systems.

Key responsibilities

  • Work alongside researchers and engineers to solve complex reinforcement learning problems
  • Participate in designing and developing new machine learning models and systems
  • Shape solutions that directly influence Anthropic’s research objectives

Collaboration and team environment

Join a team of skilled colleagues dedicated to AI advancement. Team members regularly exchange ideas, review each other's work, and support one another to create effective solutions.

About Anthropic

Anthropic is a leading AI safety and research company dedicated to ensuring that artificial intelligence is aligned with human values. Our mission is to build reliable and interpretable AI systems that can be safely integrated into society. Join us in shaping the future of AI technology!

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