Research Product Manager, Fine-tuning at Lila Sciences | CA, US | Rezi

Research Product Manager, Fine-tuning at Lila Sciences

Research Product Manager, Fine-tuning

Lila Sciences · CA, US

3 weeks ago

Research Product Manager, Fine-tuning

Lila Sciences · CA, US

a month ago
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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.