Browse 16 exciting jobs hiring in Recommendations now. Check out companies hiring such as Constructor, KIT, Quizlet in Toledo, North Las Vegas, Chandler.
Serve as the technical champion for SI and agency partners, driving enablement, certifications, and successful partner-led implementations of Constructor's AI-powered commerce solutions.
Work as a Senior Software Engineer on Kit's Network Squad to design and build high-impact frontend and full-stack features powering recommendations, ads, and commerce for creators.
Lead the strategy and delivery of personalized search and recommendation experiences at Quizlet to improve student engagement and learning outcomes.
Design and implement AI-driven music and podcast recommendation experiences as a Machine Learning Engineer working remotely across North America.
Lead the product strategy for an AI-powered e-commerce SaaS portfolio, owning roadmap and execution across personalization, search, merchandising, and feed management.
Build and deploy production ML systems at BJAK to improve personalization, fraud detection, and automation for millions of users across Southeast Asia from a remote US-based role.
Lead the measurement, experimentation, and modeling for Scribd’s recommendation surfaces to drive measurable lifts in user engagement and business outcomes.
Rokt is hiring a Machine Learning Engineer to develop and deploy scalable AI models that power personalization and recommendations across a global ecommerce platform.
Senior engineer focused on designing and building personalization and recommendation systems for ESPN+ using Python and scalable data pipelines.
Lead and scale Trashie’s engineering organization to architect high-performance commerce and personalization systems that engage millions and deliver measurable partner ROI.
Quizlet is hiring a Senior Product Manager to lead search and recommendation product strategy and execution, building AI-driven content systems that personalize learning for millions of students.
Lead the architecture and scaling of Bumble’s recommendation and content-understanding ML systems as a Staff Machine Learning Engineer based in Austin.
Lead a backend engineering team at Spotify to build and operate the core systems that personalize the Home experience for millions of listeners.
Scribd is hiring a Data Scientist II to develop and deploy scalable ML solutions—especially NLP and generative-model driven systems—across recommendations, search, and content enrichment.
Tinder is hiring a Software Engineer III, Machine Learning (Engagement & Growth) to develop and scale personalization and recommendation models that optimize notifications, CRM, and user retention.
Lead the design and delivery of scalable, high-performance search infrastructure for a major consumer platform, incorporating GenAI/LLM capabilities and mentoring engineering teams.
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