Research Scientist

Job Summary

To lead the development of next-generation benchmarks and datasets, the hybrid Research Scientist will design state-of-the-art datasets, translate benchmark insights into narratives, and collaborate cross-functionally with various teams to enhance the company's research impact.

Key responsibilities

• 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 compelling narratives 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

Required qualifications

• Strong research background in AI/ML evaluation, NLP, or related fields, with a track record of rigorous experimental design
• Exceptional communication skills to present complex technical findings to both technical and non-technical audiences
• Comfort operating in a fast-moving, cross-functional environment with ambiguous problem spaces
• Genuine interest in go-to-market 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