Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability
Job Summary
Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability.
Own model development end-to-end, including problem framing, feature strategy, model selection, training, evaluation, and iteration based on business and technical metrics.
Work closely with the MLOps team to productionize models with strong engineering rigor, including CI/CD, model registries, reproducible training, automated testing, monitoring, and retraining triggers.
Matching Summary
Build and lead a new applied machine learning team, including hiring, coaching, career development, and setting a high-performance culture with clear delivery accountability.
Skills & Requirements
Must-have
Lead applied machine learning team
Own model development end-to-end
Productionize models with engineering rigor
Define and enforce ML best practices
Leverage trusted, standardized data assets
Nice-to-have
Drive reuse and scale
Pragmatic guidance on ML appropriateness
Report on ML performance and value
Key Requirements
10+ years in applied ML/data science
4+ years in people leadership
Bachelor's degree in CS, engineering, data science or related