"ranking systems" Jobs
857 open tech roles matching “ranking systems”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Go, Kubernetes. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 857 results
Join Faire as a Senior Applied AI/ML Scientist to shape the future of search and recommendation systems in a hybrid work environment.
Join Stuut as a Member of the Technical Staff to design and deploy AI-powered systems for financial operations.
Lead the strategy for patient-provider matching using ML-powered ranking systems at Headway.
Lead a team focused on optimizing machine learning models for ads efficiency at Reddit.
Join OpenRouter as a Data Scientist to enhance AI interactions for millions of developers and optimize product experiences.
Lead a multi-disciplinary team in building AI-powered recommendation systems for a platform trusted by millions.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Join Reddit as a Senior ML Engineer to develop advanced embedding models for advertising in a fully remote role.
Join Airbnb as a Staff Machine Learning Engineer to lead impactful projects in relevance and personalization using cutting-edge AI technologies.
Join Faire as a Staff Applied AI/ML Scientist to lead the development of advanced search and recommendation systems.
Lead the technical vision and ML algorithm strategy for the Search Group at Faire, enhancing personalized shopping experiences.
Lead a team of engineers to enhance automated review systems and improve safety processing at Discord.
Own the product roadmap for search algorithms at Faire, enhancing the retailer's search experience through data-driven insights.
Join Atomicwork as a Staff Engineer to lead the development of a multi-tenant enterprise search solution using AI and ML technologies.
Join Atoms as a Senior Backend Software Engineer to build AI-powered solutions for the online food delivery industry.
Lead the unification of large datasets to power generative audio models in a fast-moving team at Udio.