Description
The Core Recommendation Ranking team in Microsoft AI Content Org powers the end-to-end ranking and reranking stack behind Microsoft’s content experiences , including news, interest, video, and AI-generated content (AIGC) feeds, reaching hundreds of millions of users worldwide.
We are at the forefront of integrating Generative AI and agentic systems into large-scale recommendation pipelines. We are seeking a Senior Applied Scientist to design, build, and optimize ranking and recommendation models that directly impact user engagement across Microsoft’s content ecosystem.
In this role, you will work hands-on with cutting-edge deep learning and LLM-enhanced ranking systems while collaborating closely with engineering and product partners to deliver production-quality solutions at scale.
Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Design & implement ranking, reranking, and retrieval models using deep learning, LLMs, and advanced recommendation techniques.
Own end-to-end ML pipelines , feature engineering, model training, offline/online evaluation, and production inference optimization.
Innovate by applying state-of-the-art methods including LLM-enhanced ranking, contextual bandits, reinforcement learning, and generative recommendation approaches.
Collaborate cross-functionally with engineering, product, and platform teams to translate research insights into shipped features.
Contribute to technical direction within the team , propose experiments, identify opportunities, and drive projects from ideation to production.
Mentor less experienced scientists and engineers, fostering a culture of technical excellence and knowledge sharing.