Senior/Staff Research Scientist (Frontier Benchmarks)

Requirements • Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design — especially around measuring the impact of training and evaluation data on model behavior, • Exceptional communication skills — able to present complex technical findings clearly to both technical and non-technical audiences, • Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces, • Genuine interest in GTM strategy, startup dynamics, and the commercial side of AI data services, • Ph.D. in machine learning, NLP, or a related field preferred; equivalent industry or research lab experience considered What the job involves • We're looking for a Staff or Senior Research Scientist to collaborate with partners and lead the development of the next frontier benchmarks and datasets, • This is a highly visible, customer-facing role at the intersection of research, company strategy, and go-to-market, • You'll design datasets taking into account frontier model performance and work with our academic partners, and then partner with delivery, product and go-to-market to scale out production, • You will also serve as a credible technical partner for our customers, prospects, and drive results that impact the broader research community, • This role reports directly to the Head of Research and is ideal for someone who is energized by cross-functional work and wants to understand how startups operate across research, data operations, and commercial teams, • Design state of the art datasets that drive frontier model training and evaluation based on current model performance and academic partnerships, • Translate benchmark insights into clear, compelling narratives that articulate the ROI of expert-curated data for customer-facing presentations, technical reports, and go-to-market materials, • Work cross-functionally with data operations, product, engineering, and strategy to surface research findings that inform the company roadmap, • Stay at the frontier of LLM evaluation research and bring best practices into Snorkel's workflows, • Represent Snorkel's research externally through publications, blog posts, conference talks, and customer engagements that advance the conversation around data-centric AI Apply tot his job Apply To this Job