ML Engineer — Biological Intelligence Platform (SF On-Site)

Proteus Bio; San Francisco (CA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Proteus Bio in San Francisco is seeking an ML Engineer to join our Engineering team on-site at Fort Mason. You will help build our Biological Intelligence Platform for autonomous discovery of personalised medicine, taking ideas from concept to production.

You should have strong ML engineering fundamentals, experience with post-training methods (SFT, RL, preference optimization, evals, reward models, data pipelines), and a bias toward ownership and rapid learning in biology.

Qualifications

• Strong ML engineering fundamentals and ability to take systems from idea to production.
• Experience with post-training — SFT, RL, preference optimization, evals, reward models, or data pipelines.
• Operates with a high degree of autonomy and ownership; fast learner.
• Biology knowledge is valuable but not required; willingness to learn is key.

Skills

ML engineering

Production systems

Autonomy

Biology curiosity

Tools

PyTorch

Hugging Face Transformers

TRL

Accelerate

DeepSpeed

FSDP

RLHF

Job description

Proteus Bio in San Francisco is seeking an ML Engineer to join our Engineering team on-site at Fort Mason. You will help build our Biological Intelligence Platform for autonomous discovery of personalised medicine, taking ideas from concept to production.

You should have strong ML engineering fundamentals, experience with post-training methods (SFT, RL, preference optimization, evals, reward models, data pipelines), and a bias toward ownership and rapid learning in biology.