Machine Learning Scientist I / II, Protein Design
Core
Design molecules for active biologics programs and develop reasoning capabilities for drug discovery by translating experimental constraints into actionable design hypotheses.
Role type
Senior IC machine learning scientist (protein design)
Builds
Computational design workflows, evaluation infrastructure, and reasoning models for biologics
Domain
Life Sciences / AI for Protein Engineering
Deliverable
production ML models
Required skills
Protein sequence/structure/function expertise, System design fundamentals, Rigorous evaluation and dataset design, Cross-functional communication, Software engineering
Preferred skills
Reasoning models/agents/planning systems, Design-test-learn loops for therapeutics, Model registries/benchmark suites, Distributed training/GPU efficiency
Technologies
None explicitly listed
Responsibilities
Design molecules for active biologics programs, Develop reasoning capabilities for drug discovery, Design and maintain benchmarks and evaluation infrastructure, Own operations around reproducibility and inference cost, Work with domain scientists to define ML objectives
Seniority
Senior, hands-on IC
