"recommendation systems" Jobs
1833 open tech roles matching “recommendation systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, SQL. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 1833 results
Join Perplexity as a Senior ML Engineer to design and optimize recommendation systems for personalized user experiences.
Drive GenAI-powered recommendations at Reddit, shaping feed ranking for millions of users in a fully remote role.
Join Reddit as a Staff Machine Learning Engineer to lead the development of personalized notification systems for millions of users.
Build and optimize large-scale machine learning systems for recommendation and personalization at Reddit.
Design and build large-scale machine learning systems for personalized notifications at Reddit.
Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.
Join Databricks as an Applied AI Engineer to build personalized learning experiences using machine learning and knowledge representation.
Build an AI-native market intelligence and pricing system for SKU-heavy manufacturers in a 12-week residency.
Lead a high-impact team of Machine Learning Engineers to build recommendation systems for Reddit's Feed Ecosystems.
Lead a high-impact team of Machine Learning Engineers to enhance Reddit's personalized feeds and improve user experience.
Lead the development of large-scale machine learning infrastructure to enhance personalization and recommendation systems at Reddit.
Build production ML systems to transform customer behavior into trusted signals for decision-making at Block.
Lead the design and development of core ML models for Instacart’s ads ecosystem in a fully remote role.
Join Robinhood as a Staff Machine Learning Engineer to design and deliver advanced personalization systems for millions of users.
Lead a high-impact team of Machine Learning Engineers to enhance media relevance and personalization for over 120M daily users.