Life Sciences AI Research Engineer - ML Systems & Evaluation

Anthropic; California (MO); Hybrid; USD 350,000 - 500,000; Full time

Benefits offered by this job

Equity donation matching

Generous vacation

Parental leave

Job summary

Anthropic is seeking a Research Engineer for the Life Sciences team to advance AI methods in biology, combining ML engineering with evaluation frameworks and training strategies. You will work with world-class researchers and engineers to measure and improve model performance on complex tasks, while upholding safety commitments.

Prior life sciences experience is welcome but not required. Join a collaborative, growth-oriented environment at Anthropic, headquartered in San Francisco, with hybrid

Qualifications

• Experience training and evaluating large language models.
• Proficiency in Python and modern ML development practices.
• Experience building data pipelines for large-scale datasets.
• Ability to navigate ambiguity in evolving research environments.
• Strong communication and collaboration across teams.

Skills

Large language models

Python

Data pipelines

Cross-functional collaboration

Ambiguity tolerance

Education

Bachelor's degree

Graduate studies in biology

Tools

Docker/Kubernetes

Job description

Anthropic is seeking a Research Engineer for the Life Sciences team to advance AI methods in biology, combining ML engineering with evaluation frameworks and training strategies. You will work with world-class researchers and engineers to measure and improve model performance on complex tasks, while upholding safety commitments.

Prior life sciences experience is welcome but not required. Join a collaborative, growth-oriented environment at Anthropic, headquartered in San Francisco, with hybrid