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Lead the design and delivery of production personalization, ranking, and multi-objective optimization systems that improve listener experience across Spotify's platforms.

Georgetown University's Knight-Georgetown Institute seeks an early-career Research Analyst to support cross-disciplinary research, synthesize evidence, and help translate findings into policy and design recommendations on platform governance and generative AI.

Lead end-to-end development and deployment of production ML systems at Bumble to improve recommendations, ranking, and personalization while applying responsible AI practices.

Lead and grow a high-impact machine learning engineering team to drive retrieval and candidate generation for Pinterest Homefeed, combining cutting-edge recommendation research with production-grade infrastructure.

At Handshake, you will build and operate ML models—especially graph- and embedding-based approaches—that improve relevance and discovery for students and employers across a global platform.

LinkedIn seeks a Hybrid Machine Learning Engineer to build and deploy scalable relevance and evaluation models for recommender systems and generative/NLP-driven product features.

Pluralsight seeks a Machine Learning Engineer to build and deploy production ML systems and personalized recommendation solutions that enhance learner outcomes.

LinkedIn is seeking a Staff Software Engineer, Machine Learning to develop and productionize large-scale ML models that drive personalized recommendations and member engagement.

Lead Angel's strategic vision for ML/AI-powered personalization and discovery to shape how audiences find and experience meaning-driven entertainment.

Technical leader sought to design and deliver large-scale ML and AI systems that drive personalization and growth across LinkedIn's consumer products.

Cornerstone seeks an early-career AI Engineer to build and test machine learning and generative AI features for its workforce agility platform in a fully remote, U.S.-based role.