RemoteOtterRemoteOtterExplore 26 Remote Recommender Systems Jobs
Spotify
Join Spotify as a Staff Machine Learning Engineer to enhance personalized recommendations through advanced machine learning techniques.
D.P
DEU008 Pagero
Join Thomson Reuters as a Senior Machine Learning Engineer to develop innovative recommender systems that impact global markets.
Spotify
Join Spotify as a Senior Machine Learning Engineer to lead technical projects and enhance personalization through machine learning.
Valsoft Corporation
Join Valsoft as the Director of AI Labs to lead AI innovation across a global portfolio of software companies.
Spotify
Join Spotify as a Research Scientist to improve personalization through machine learning and generative AI technologies.
IspeedToLead
IspeedToLead
Join us as a Data Science Expert to build impactful models and insights in a remote-first, AI-powered startup.
Spotify
Join Spotify as a Machine Learning Engineer to enhance personalization through advanced ML techniques and leadership in a collaborative environment.
vidIQ
Join vidIQ as an AI / Machine Learning Engineer to drive product innovation and deliver high-impact results.
NBCUniversal
The Director of Recommendation Science will lead a team to develop machine learning solutions for NBCU's video streaming services.
Tripadvisor
Join Tripadvisor as a Senior Machine Learning Engineer to lead the design and implementation of advanced systems for travel recommendations and user interaction.
Tripadvisor
Join Tripadvisor as a Senior Machine Learning Engineer to lead the design and implementation of advanced systems for travel planning.
Doordashusa
Join DoorDash as a Machine Learning Engineer intern to tackle challenges in machine learning and AI while contributing to real-world applications.
Dropbox
Join Dropbox as a Senior Machine Learning Engineer to design and implement large-scale machine learning systems.
Dropbox
Join Dropbox as a Senior Machine Learning Engineer to design and implement large-scale machine learning systems.
Penn Interactive
Join PENN Entertainment as a Staff Data Scientist specializing in Personalization to drive user engagement through innovative data-driven solutions.