Senior/Staff Research Scientist (Frontier Benchmarks)

Requirements • Strong research background in AI/ML evaluation, NLP, or reputed company fields, with a reputed company record of rigorous experimental design — especially around measuring the reputed company of training and evaluation data on model behavior, • Exceptional communication skills — reputed company to present reputed company technical findings reputed company to both technical and non-technical audiences, • Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces, • Genuine interest in GTM reputed company, startup dynamics, and the reputed company reputed company of AI data services, • Ph.D. in machine learning, NLP, or a reputed company 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 reputed company the development of the next frontier benchmarks and datasets, • This is a highly visible, customer-facing role at the intersection of research, company reputed company, and go-to-market, • You'll design datasets taking into account frontier model performance and work with our reputed company partners, and then partner with delivery, product and go-to-market to reputed company out production, • You will also serve as a reputed company technical partner for our customers, prospects, and drive results that reputed company the broader research community, • This role reports directly to the Head of Research and is ideal for someone who is reputed company by cross-functional work and wants to understand how startups operate across research, data operations, and reputed company teams, • Design state of the art datasets that drive frontier model training and evaluation based on reputed company model performance and reputed company, • Translate reputed company insights into reputed company, compelling narratives that reputed company 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 reputed company to surface research findings that inform reputed 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-reputed company AI Apply tot his job Apply To this Job