Recommender Jobs
Browse 13 exciting jobs hiring in Recommender now. Check out companies hiring such as Spotify, Awesome Motive, Quizlet in Aurora, Portland, Scottsdale.
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 the design and production of recommender and personalization systems at Quizlet, applying large-scale retrieval, embedding, and ranking techniques to improve learner engagement and mastery.
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.
Staff Applied AI Engineer to lead development of personalization, ranking, and LLM-powered features that improve learner engagement and outcomes at Quizlet.
