"ranking" Jobs
171 open tech roles matching “ranking”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, AI/ML, AI. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 171 results
Lead a high-impact team of Machine Learning Engineers to enhance media relevance and personalization for over 120M daily users.
Design and build large-scale machine learning systems for personalized notifications at Reddit.
Join Reddit as a Staff Machine Learning Engineer to lead the development of personalized notification systems for millions of users.
Drive GenAI-powered recommendations at Reddit, shaping feed ranking for millions of users in a fully remote role.
Own the merchandising strategy for Airbnb Experiences, partnering with Product and Engineering to enhance discoverability and ranking.
Join Airbnb as a Senior Machine Learning Engineer focusing on query intelligence to enhance search and recommendation systems.
Join Airbnb as a Staff Machine Learning Engineer to lead impactful projects in relevance and personalization using cutting-edge AI technologies.
Lead AI Platforms initiatives at Airbnb, focusing on Search Relevance and Machine Learning Infrastructure with a remote team.
Build and optimize large-scale machine learning systems for recommendation and personalization at Reddit.
Join Quora as a Software Engineer (New Grad) to work on their Machine Learning platform in a fully remote role.
Lead a high-impact team of Machine Learning Engineers to enhance Reddit's personalized feeds and improve user experience.
Lead the Maps & Search team at Luxury Presence, driving AI-powered home search experiences in a fully remote environment.
Lead GitLab's pricing strategy, collaborating across teams to shape business models and improve monetization of products.
Lead the development of large-scale machine learning infrastructure to enhance personalization and recommendation systems at Reddit.
Join GitLab as a Site Reliability Engineer to ensure the reliability and efficiency of user-facing services in a fully remote environment.