13 total jobs
1 new job this week
Lead a team of engineers to develop innovative ads measurement products and platforms, driving technical vision and strategy while ensuring rigorous, privacy-conscious measurement solutions.
As the Director of Machine Learning & AI at Thorn, you will lead a team to apply advanced technologies in addressing child safety challenges, shaping strategy and fostering talent.
Lead the product strategy and team for Upstart's Machine Learning & Decisioning Platforms, driving innovation in credit decisioning and machine learning capabilities.
Leads and develops an applied ML team while owning fraud detection and identity models end to end, setting domain strategy, guiding technical decisions, and delivering production systems that inform product and business outcomes.
Leads an applied ML team and owns fraud and identity model development end to end, combining people management, hands-on technical work, and cross-functional product and risk decisions.
Leads the underwriting and credit risk model validation function, managing and mentoring quantitative professionals while personally validating complex machine learning models and strengthening enterprise risk practices.
Leads underwriting and credit risk model validation, managing and mentoring a quantitative team while personally validating complex machine learning models and strengthening the enterprise risk framework.
Lead the strategy and technical roadmap for next-generation recommendation systems, managing ML researchers and engineers while balancing near-term product impact with long-term research and production innovation.
The VP of Research (Machine Learning) will define and lead the research direction for an AI platform, focusing on advanced machine learning techniques and practical production impact.
Leads an MLOps team and roadmap, owning the architecture and operation of scalable ML infrastructure, pipelines, and serving workflows while connecting research experimentation with production needs.
Lead independent validation of credit decisioning and risk models, using statistical analysis and machine learning expertise to assess model performance, strengthen governance, and challenge lending strategies.
Leads and mentors a team of data scientists building fraud detection and financial risk products, owning model development end to end from data and experimentation through production deployment and monitoring.
Leads the machine learning team responsible for Reddit Ads conversion models, setting technical strategy and overseeing model development, production deployment, team growth, and cross-functional collaboration.
