Research Scientist - Protein Design & ML Systems

Geodesiclab; Menlo Park (CA); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Geodesiclab is seeking a machine learning-focused engineer to develop and train models powering NovaAtom and the company’s protein design systems. You will work on structure prediction architectures and reinforcement-learning loops that translate experimental feedback into better models.

The role involves training NovaAtom-family models, building protein design models for NovaDDE, and designing RL post-training pipelines that weave wet-lab feedback into ongoing model updates.

Qualifications

• Strong background in machine learning with hands-on experience training large models.
• Familiarity with structural biology or protein modeling is a plus, not a requirement.
• Comfortable moving between research and production-quality training infrastructure.

Responsibilities

• Train NovaAtom-family structure prediction models.
• Build and improve protein design models used across NovaDDE.
• Design RL post-training pipelines that incorporate wet-lab feedback into model updates.

Skills

Machine learning

Production ML

Large model training

Job description

Geodesiclab is seeking a machine learning-focused engineer to develop and train models powering NovaAtom and the company’s protein design systems. You will work on structure prediction architectures and reinforcement-learning loops that translate experimental feedback into better models.

The role involves training NovaAtom-family models, building protein design models for NovaDDE, and designing RL post-training pipelines that weave wet-lab feedback into ongoing model updates.