Machine Learning Scientist I / II, Protein Design

Highlights

• Design molecules for active biologics programs from spec to wet-lab validated lead.
• Build reasoning capabilities and orchestrate design workflows for drug discovery.
• Own benchmarks and eval infrastructure for generalizable design decisions.

What they offer

• Competitive base compensation with bonus potential and generous early-stage equity
• Comprehensive medical, dental, and vision coverage
• Employer-paid life and disability insurance
• Flexible time off with generous company-wide holidays
• Paid parental leave and educational assistance program

Ideal candidate

Exceptional builder with strong biological intuition who turns individual campaigns into reliable systems. You care about rigorous evaluation and partnering across science and AI to advance protein engineering.

Requirements

• MS or PhD in computer science, machine learning, computational biology, biophysics, bioengineering, or similar quantitative field
• Strong software engineering and system design fundamentals
• Rigor in evaluation and dataset design and measuring automated system decisions
• Strong cross-functional communication skills
• Domain expertise in protein sequence, structure, and function