About the Role
You will own two key areas: defining new scientific domain capabilities for the Lila model and managing the roadmap and delivery of fine-tuned Lila model variants for critical use cases. You will collaborate closely with the AI Research team to ensure capabilities are integrated into the foundation model.
Responsibilities
- Own and maintain the prioritized backlog of training-capability packages, balancing Lila's TPPs, customer needs, and model training requirements.
- Own the roadmap and delivery of fine-tuned Lila model variants, defining training data, data gaps, evals, and release criteria.
- Coordinate the handoff of validated fine-tunes to app and platform teams.
- Serve as a structured input into the AI Research team's core-model training cadence.
- Partner with AI Research to translate prioritized capabilities into clear requirements.
- Represent customer- and commercial-driven capability requests and translate them into actionable asks for the research team.
- Integrate into AI Research sprint planning and standups to track delivery and resolve dependencies.
- Define and track release/acceptance criteria for new capabilities in partnership with the evals workstream.
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.
Skills
- LLM training
- LLM fine-tuning
- RL-based capability development
- ML/AI product management
- Backlog prioritization
- Cross-functional collaboration
- Requirements translation
- Eval design
- Release criteria definition
Location
- U.S.
Work Type
- Full-time
Experience Level
- Product Manager on ML/AI products
Salary/Compensations
- $204,000—$310,000 USD
Benefits
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with generous company wide holidays
- Paid parental leave
- Educational assistance program
- Commuter benefits, including bike share memberships for office based employees
- Company subsidized lunch program
- Comprehensive benefits program tailored to their region (International)
About the Company
- Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges.
- We believe science is the most inspiring frontier for AI.
- LILA builds systems that can learn for themselves.
- LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy.
- Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance.
Equal Opportunity
- Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
- Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.
