# Research Engineer, Life Sciences

Hiring organization: [Menlo Ventures Portfolio](https://career.thegoodapps.co/organizations/menlo-ventures-portfolio)

Canonical page: https://career.thegoodapps.co/jobs/670eb0bd-624f-4a77-8dc0-2e71661ae7a6

Listed on Menlo Ventures Portfolio's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Senior
- Location: San Francisco, CA
- Salary: 350000 – 500000 USD per year

## Summary

Join Anthropic's Life Sciences team to develop machine learning evaluation frameworks and training strategies that advance AI applications in biology and drug discovery. This role suits experienced ML engineers interested in scientific AI, rigorous experimental design, and working at the intersection of AI and life sciences research.

_Our summary, not Menlo Ventures Portfolio's wording._

## Skills named

Data Pipelines, Docker, Kubernetes, Machine Learning, Python, Reinforcement Learning

## Required

- Demonstrated experience training and evaluating large language models
- Proficiency in Python and modern ML development practices
- Experience building and managing data pipelines for large-scale datasets
- Ability to work independently and collaboratively across teams
- Strong written and verbal communication skills

## Nice to have

- 8+ years of machine learning experience
- Experience in AI and biology (molecular biology, biochemistry, computational biology)
- Work with large-scale biological datasets
- Published research in scientific AI or long-horizon reasoning
- Reinforcement learning and/or pretraining experience
- Containerization and cloud deployment at scale
- Contributions to open-source scientific software

Apply on Menlo Ventures Portfolio's site: https://job-boards.greenhouse.io/anthropic/jobs/5265365008