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← Lila Sciences

Research Product Manager, Fine-tuning

Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA

CHECKED 15H AGO

Bio & Science AIonsite$204k–$310k
Apply on the lab’s site ↗

At a glance

Highlights

  • Own roadmap and delivery of fine-tuned Lila variants for commercial use cases.
  • Define which scientific capabilities the Lila model gains via RL and SFT data.
  • Embed with AI Research sprints to unblock delivery into foundation model.

What they offer

  • Competitive base compensation with bonus potential
  • Generous early-stage equity
  • Medical, dental, and vision coverage
  • Flexible time off with company holidays and parental leave

Ideal candidate

A cross-functional AI product leader who thrives embedded with researchers, turning ambiguous scientific and commercial needs into sequenced, shippable model capabilities.

Requirements

  • Experience as a Product Manager on ML/AI products, ideally with exposure to LLM training, fine-tuning, or RL-based capability development
  • Experience owning delivery of a model or product variant for external or commercial customers, including defining data, evals, and release criteria
  • Demonstrated ability to build and defend a prioritized backlog against competing scientific, research, and commercial demands
  • Strong cross-functional operator, comfortable partnering closely with a research organization
  • Track record translating ambiguous or evolving priorities into a clear, sequenced set of deliverables

Lab profile

About Lila Sciences

Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.

What they build

  • Autonomous Science Platform
  • AI-designed biologics validated in wet-lab
  • Electro-optic materials and photonic devices

Known for

  • Large-scale automated data generation
  • High-throughput protein purification and analytics
  • Protein design and BioML modeling
  • Robotic orchestration and lab simulation
More about Lila Sciences →
Apply on the lab’s site ↗