The role involves setting the research agenda and directing a portfolio that turns novel methods into high-impact internal applications and external publications
Job Summary
The role involves setting the research agenda and directing a portfolio that turns novel methods into high-impact internal applications and external publications.
You will lead an interdisciplinary team of ML researchers, measurement scientists, and applied scientists to build human-centered and psychometrically rigorous evaluation systems.
Success requires shipping evaluation methods as production SDKs and APIs while maintaining a strong publication record at top-tier AI/ML venues.
Matching Summary
The role involves setting the research agenda and directing a portfolio that turns novel methods into high-impact internal applications and external publications.
Skills & Requirements
Must-have
Ph.D. in Computer Science or related field
5+ years managing research teams in industry
Track record publishing at NeurIPS ICML ICLR
Experience translating research to production systems
Technical depth in AI evaluation methods
Nice-to-have
Ability to bridge ML research and measurement science
Expertise specifically in evaluation methodology papers
Strong opinions on user-facing tool implementation
Experience designing research with self-service adoption
Track record of recruiting competitive research talent
Key Requirements
Ph.D. in Computer Science Machine Learning Statistics
5+ years experience leading research teams
Proven publication history at top-tier venues
Demonstrated ability to ship research into production