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
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