…including user modeling, retrieval, ranking, and relevance. Demonstrated contributions to the ML community through open-source projects, publications, or applied research in areas such…

…You'll work at the exciting intersection of large-scale content systems, applied science, and applying the latest advances in foundation models to build…

…Experience with transfer learning or domain adaptation techniques (e.g., LoRA, adapter-based fine-tuning) applied to recommendation or ranking models. Publication record in…

…This involves developing sophisticated machine learning and large language models (LLMs) to understand user queries, retrieve and rank relevant documents across multiple sources and…

…Ads Engineering, you will lead the applied scientists and ML engineers who build and scale that intelligence: state-of-the-art retrieval, ranking, auction…

…ranking and personalization (e.g., relevance/utility metrics, calibration, novelty/diversity, long-term value, bias/fairness considerations, and guardrails). Apply NLP and search/retrieval…

The AWS Marketplace team seeks a talented Applied Scientist to lead the development of our next generation of AI-Powered Discovery systems. The ideal…

…multi-objective ranking—unifying search, discovery, recommendation, ads, and merchandising into a single value-aware platform. Partnering with world-class engineers, scientists, and PMs…

…retrieval research to be translated into reusable, extensible and broadly adopted systems across Microsoft products and experiences. You’ll report to a Distinguished Scientist…

…time systems, robotics, or multi-modal AI Familiarity with information retrieval techniques (ranking, embedding-based search, relevance modeling) Experience collaborating with ML teams on…