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Research Engineer – Life Sciences (AI)

Anthropic · San Francisco

350,000 - 500,000 USD/year 🇬🇧 English
Python data pipelines Docker Kubernetes cloud deployment reinforcement learning pretraining

Job description

About the role

Anthropic is seeking a Research Engineer to join its Life Sciences team, focusing on accelerating progress in biology through advanced AI. You will combine deep machine‑learning expertise with biological challenges to create novel evaluation frameworks and training strategies.

Key responsibilities

  • Design and implement evaluation frameworks for AI models applied to biological problems.
  • Develop training strategies that push the frontier of large‑language‑model performance in life‑science tasks.
  • Build and maintain data pipelines for large‑scale biological datasets.
  • Collaborate with researchers and engineers across disciplines to integrate AI into all phases of scientific discovery.
  • Ensure safety, interpretability, and beneficial impact of AI systems in biology.

Required profile

  • Proven experience training and evaluating large language models.
  • Strong proficiency in Python and modern machine‑learning development practices.
  • Experience building and managing data pipelines for large datasets.
  • Ability to navigate ambiguity and deliver solutions in fast‑moving research environments.
  • Excellent written and verbal communication skills; capable of independent work and cross‑functional collaboration.

Required skills

  • Python
  • Large language model training and evaluation
  • Data pipeline development
  • Modern ML development practices

What we offer

  • Competitive annual compensation ranging from $350,000 to $500,000 USD.
  • Opportunity to work at the intersection of cutting‑edge AI and life sciences.
  • Collaboration with world‑class researchers and engineers.

Questions fréquentes

Le salaire proposé pour ce poste est de 350-500k USD par an. Le détail figure dans l'annonce.
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Source : ats:greenhouse

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Published 1 month ago

Expires 4 weeks from now

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Anthropic

San Francisco