Job Description

We're Hiring: Research Scientist, Machine Learning for Protein Design

We're a VC-backed, early-stage startup using advanced ML to engineer carbon-negative polymers through synthetic biology and enzymatic synthesis. Our mission spans climate tech, industrial biotech, and off-world manufacturing. We're building foundational models to unlock the next generation of molecular design.

We’re looking for recently graduated PhD-level researchers with strong AI/ML fundamentals to help design, test, and develop novel technologies in high-throughput enzymatic functionalization.

What You’ll Do:

• Design, build, and test in-house protein foundation models
• Work with large, messy biological datasets
• Collaborate closely with lab teams to optimize protein outputs
• Contribute deep technical code and ideas—this is not a “prompt engineering” role
• Move fast, break things, and fix them

What You’ll Bring:

• PhD in CS, ML, Applied Math, or similar (or an exceptional MS)
• Publications in top-tier ML conferences (e.g., NeurIPS, ICML, ICLR, etc.) related to LLMs, NLP or theoretical optimizations
• Experience with unstructured data (e.g., proteins, EMG, video, etc.)
• Strong grasp of ML fundamentals and excellent coding ability
• A bias toward action and independent research initiative
• Grit, adaptability, and a desire to solve hard, meaningful problems

We’re building something ambitious. If you're deeply technical, mission-driven, and want your work to matter—reach out.

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