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Research Scientist (AI)

200 000 - 325 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Research Scientist (AI): Designing and leading the development of frontier benchmarks and datasets for LLM training and evaluation with an accent on data-centric AI and rigorous experimental design. Focus on bridging the gap between academic research and commercial productization to drive frontier model performance.

Location: San Francisco, CA (Hybrid) — Must be based in the USA

Salary: $200,000 - $325,000 USD

Company

Snorkel AI helps enterprises transform expert knowledge into specialized AI at scale using a data-centric approach.

What you will do

  • Design state-of-the-art datasets to drive frontier model training and evaluation based on current performance and academic partnerships.
  • Translate benchmark insights into compelling narratives and technical reports for customers and go-to-market materials.
  • Collaborate cross-functionally with data operations, product, and engineering to inform the company roadmap.
  • Stay at the frontier of LLM evaluation research and integrate best practices into internal workflows.
  • Represent the company externally through publications, blog posts, and conference talks.

Requirements

  • Strong research background in AI/ML evaluation or NLP with a track record of rigorous experimental design.
  • Experience measuring the impact of training and evaluation data on model behavior.
  • Exceptional communication skills for presenting complex technical findings to diverse audiences.
  • Ability to operate in a fast-moving, cross-functional startup environment with ambiguous problem spaces.
  • Ph.D. in machine learning, NLP, or a related field preferred.

Culture & Benefits

  • Opportunity to work in a high-growth environment that combines stability with the excitement of a scale-up.
  • Meaningful influence over key strategic decisions and company priorities.
  • Strong support for professional growth, leadership opportunities, and skill diversification.
  • Commitment to diversity, equity, and inclusion in the workplace.

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