"recommender systems" Jobs
201 open tech roles matching “recommender systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 201 results
Help shape the product vision and roadmap for Pinterest's Applied Sciences portfolio as a Staff Product Manager.
Join OfferUp as a Staff Software Engineer to lead technical direction and build impactful features for our business platform.
Lead technical work for NodeZero's defensive agents in a fully remote cybersecurity company.
Join Pinterest as a Staff Data Scientist to enhance the Notifications strategy through data-driven insights and machine learning.
Lead company-level programs for Search Signals at Pinterest, driving innovation and execution across offsite signals and relevance.
Join Ironclad as a Staff/Senior Staff Software Engineer to lead the architecture of AI-driven search systems for contract management.
Join Pinterest as a Staff Machine Learning Engineer to develop state-of-the-art visual AI models in a collaborative environment.
Lead the technical vision for Ads Conversion Core Modeling at Pinterest, focusing on applied ML projects and large-scale model development.
Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.
Lead the technical direction for AI-native systems in a remote-first environment focused on innovative healthcare solutions.
Lead the development of machine learning initiatives to enhance customer support experiences at Block.
Join Bloomreach as a Senior Staff Product Architect to shape AI-led product capabilities and drive architectural alignment.
Own a strategic product management role at Valence, leading AI-driven projects from concept to adoption in a collaborative environment.
Join Bloomreach as a Senior Staff Product Architect to shape AI-led product capabilities and drive architectural alignment.
Join Braze as a Staff Applied Scientist to lead transformative ML initiatives for personalized customer engagement.