Research Product Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Research Product Manager (AI/LLM): Defining and building scientific domain capabilities for the Lila model with an accent on reinforcement learning environments and supervised fine-tuning (SFT) data. Focus on owning the roadmap for fine-tuned model variants and translating commercial needs into research requirements.
Location: Must be based in Cambridge, MA or San Francisco, CA, USA
Salary: $204,000 - $310,000 USD
Company
is building Scientific Superintelligence to accelerate discovery across medicine, materials, and energy using an autonomous operating system for science.
What you will do
- Own the prioritized backlog of training-capability packages, including RL environments and SFT data.
- Define the roadmap and delivery of fine-tuned Lila model variants for platform and commercial use cases.
- Coordinate the handoff of validated fine-tunes to the app and platform teams.
- Translate customer and commercial requests into concrete technical requirements for the AI Research team.
- Integrate into AI Research sprint planning and standups to track delivery and unblock dependencies.
- Define and track release and acceptance criteria for new capabilities in partnership with the evals workstream.
Requirements
- Experience as a Product Manager for ML/AI products, specifically with LLM training, fine-tuning, or RL-based development.
- Proven track record of owning the delivery of model or product variants for commercial customers.
- Ability to build and defend a prioritized backlog against competing scientific and commercial demands.
- Strong cross-functional operational skills, comfortable partnering closely with a research organization.
- Ability to translate ambiguous or evolving priorities into clear, sequenced deliverables.
Nice to have
- Familiarity with capability-based training approaches for LLMs (RL environments, SFT data generation, evals).
- Experience partnering with ML/AI research teams on eval design and release criteria.
- Background in a scientific or technical domain relevant to the company's mission.
Culture & Benefits
- Comprehensive U.S. benefits including medical, dental, vision, and employer-paid life/disability insurance.
- Flexible time off with generous company-wide holidays and paid parental leave.
- Educational assistance program and commuter benefits, including bike share for office-based employees.
- Company-subsidized lunch program.
- Competitive base compensation with bonus potential and generous early-stage equity.
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