Назад
Company hidden
19 часов назад

Research Product Manager (AI)

204 000 - 310 000$
Тип работы
fulltime
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/

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

hirify.global 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.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →