Life Sciences AI Research Engineer — Frontier ML

Anthropic; San Francisco (CA); Hybrid; USD 350,000 - 500,000; Full time

Job summary

Anthropic is seeking an exceptional Research Engineer to enhance our Life Sciences team. This role involves developing evaluation frameworks and training strategies that leverage AI in biology and improve model performance. You will work collaboratively with leading researchers and engineers, contributing to innovative AI systems while ensuring safety and beneficial impact.

The ideal candidate will have substantial experience in machine learning and a background in biology, with a strong emphasis on scientific applications and problem-solving in evolving environments.

Qualifications

• 8+ years of machine learning experience.
• Experience in AI and biology relevant to graduate studies.
• Working with large-scale biological datasets.
• Published research in scientific AI applications.
• Background in reinforcement learning and pretraining.

Responsibilities

• Develop evaluation frameworks for AI in biology.
• Collaborate with researchers to improve AI systems.
• Engage in all phases of research and development.

Skills

Training and evaluating large language models

Proficiency in Python

Building and managing data pipelines

Problem-solving in ambiguous environments

Strong written and verbal communication skills

Education

Bachelor’s degree or equivalent

Tools

Docker

Kubernetes

Job description

Anthropic is seeking an exceptional Research Engineer to enhance our Life Sciences team. This role involves developing evaluation frameworks and training strategies that leverage AI in biology and improve model performance. You will work collaboratively with leading researchers and engineers, contributing to innovative AI systems while ensuring safety and beneficial impact.

The ideal candidate will have substantial experience in machine learning and a background in biology, with a strong emphasis on scientific applications and problem-solving in evolving environments.