Research Engineer, Life Sciences

About this role

Anthropic seeks a Research Engineer to advance AI applications in life sciences, developing evaluation frameworks and training strategies that enhance model performance on complex biological tasks. You'll work across the full ML stack at the intersection of AI and biology, collaborating with world-class teams to build systems capable of supporting all phases of research and development.

What you'll do

• Develop novel evaluation frameworks to measure AI performance on life sciences tasks
• Design and implement training strategies that advance AI capabilities in biology
• Build and manage large-scale data pipelines for biological datasets
• Collaborate across research and engineering teams on AI systems for scientific discovery
• Work on model training and evaluation for language models applied to life sciences
• Navigate ambiguous research environments and develop solutions independently

What they're looking for

• Large language model training and evaluation
• Python programming
• ML development practices and tools
• Data pipeline engineering and management
• Scientific computing
• Reinforcement learning (preferred)
• Cloud deployment and containerization (Docker, Kubernetes)
• Cross-domain expertise (language modeling, systems engineering)

Benefits

• Annual salary: $350,000–$500,000 USD
• Hybrid work policy (minimum 25% in office)
• Visa sponsorship available
• Work on cutting-edge AI safety and beneficial AI systems
• Collaborative environment with world-class researchers