Browse 23 exciting jobs hiring in Recommendation now. Check out companies hiring such as Spotify, Amazon, Bumble Inc. in Chattanooga, Chicago, Buffalo.
Lead the architecture and productionization of Spotify’s shared Agent Engine to power scalable, reliable agent-based experiences across the platform.
Senior ML Engineer role focused on building and shipping LLM-driven personalization and session-generation systems for Spotify's large-scale music and podcast recommendation products.
Lead product strategy for Amazon's Visual Search team to scale cutting-edge computer vision and multimodal AI into high-impact shopping experiences.
Lead the design and delivery of scalable ML systems for recommendations, ranking, personalization, and LLM-based features at Bumble, driving measurable user outcomes and mentoring engineering teams.
Senior leader needed to own Rotten Tomatoes' content and platform strategy, driving app growth, monetization, editorial governance, and AI-enabled product innovation within a high-visibility media portfolio.
Kit seeks a product-minded Senior Software Engineer to ship full‑stack features powering recommendation and monetization products that help creators grow and earn.
Lead Rotten Tomatoes’ content, platform, and monetization strategy as VP to scale the brand into a habit-driven, revenue-generating consumer app while preserving editorial trust.
Spotify’s Music Promotion team is hiring a Machine Learning Engineer to build and productionize scalable ML models that quantify and improve the impact of promotional campaigns for artists and partners.
Lead Unity’s Ads Measurement product portfolio—shaping strategy, integrations, and data-driven tooling that help developers optimize ad performance and monetization.
Help build and iterate production ML models for lifecycle, notifications, and monetization on Handshake’s Growth Relevance team, working closely with senior engineers and product partners.
Airbnb is hiring a Senior Software Engineer to lead the design and scaling of its Travel Knowledge Graph infrastructure that powers search, recommendations, and personalization.
Pluralsight seeks an experienced Data Scientist to design, validate, and deploy machine learning and NLP solutions that drive product and business impact.
Lead the product strategy and execution for Bumble’s Matching & Recommendations, shaping machine-learning-driven discovery and personalization across the platform.
Lead the technical strategy and production deployment of large-scale ML and LLM-driven systems at Bumble to improve personalization, safety, and engagement across the platform.
Lead product strategy and execution for BetterSleep's core experience, delivering personalized journeys and connected care pathways to millions of users.
Lead the design and scaling of Bumble’s matching, recommendation, and agentic AI systems to deliver low-latency, ML-powered experiences across the product.
Optro is looking for a Senior Software Engineer II (Machine Learning) to build and ship production ML and LLM-powered features that improve risk and compliance workflows across our SaaS platform.
Lead the design and production of agentic, LLM-enhanced DJ and interactive listening experiences at Spotify, leveraging large-scale ML systems and cross-functional collaboration.
Lean In and the Sandberg Bernthal Family Foundation are hiring a Data Scientist to turn data into actionable insights that shape products, programs, and community impact for millions of users.
Help scale Creatify’s production ML stack and build state-of-the-art models for recommendation, ranking, and generative video ad workflows as a Machine Learning Engineer on our Mountain View team.
Cornerstone is hiring a Senior AI Engineer to develop NLP, generative AI, and recommender capabilities for its AI-powered workforce platform in a fully remote US role.
Lead LinkedIn’s Ads AI engineering team to architect and deliver LLM-driven recommendation and ad-ranking systems that measurably improve advertiser outcomes.
Lead the vision and roadmap for HubSpot’s usage data platform to make product usage data discoverable, trustworthy, and actionable for analytics, experimentation, and AI applications.
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