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Research Engineer, Life Sciences at Anthropic - ApplyBlast

Research Engineer, Life Sciences

Anthropic

3 months ago

3.7 on Glassdoor

San Francisco, CA

Hybrid

Full Time

Senior

1 applicant

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About this role

Anthropic is seeking a Research Engineer to join the Life Sciences team, where you will combine machine learning engineering expertise with biological sciences to develop novel evaluation frameworks and training strategies. You will work at the intersection of AI and biology to build systems that engage in all phases of research and development, pushing the frontier of what AI can achieve in scientific tasks. The role involves collaborating with world-class researchers to create rigorous methods for measuring and improving model performance on complex scientific challenges.

Responsibilities

Develop novel evaluation frameworks and training strategies for AI in biology
Build AI systems to engage in all phases of scientific research and development
Create rigorous methods to measure and improve model performance on complex tasks
Collaborate with researchers to push the frontier of AI capabilities in life sciences
Navigate ambiguity and develop solutions in rapidly evolving research environments

Skills

Qualifications

Bachelor's degree in relevant fieldExperience training and evaluating large language modelsProficiency in Python and modern ML development practicesExperience building and managing data pipelines for large-scale datasetsBackground in reinforcement learning and/or pretraining

About Anthropic

anthropic.com

Company Size

51-200 employees

View Profile

Anthropic is an AI safety and research company focused on building reliable, interpretable, and steerable AI systems. It develops large language models (branded as Claude) and offers APIs and enterprise products that let organizations integrate conversational AI with safety-focused controls, moderation, and privacy features. The company prioritizes interpretability and alignment research, publishes technical work, and engages with policymakers to reduce risks from advanced AI. Customers choose Anthropic for its safety-first approach, controllability tools, and research-driven models.