The Core Recommendation Ranking team at Microsoft AI Copilot Discover Engineering Org is seeking a Principal Applied Scientist Architect to develop advanced AI-driven recommendation systems using large language models. This role focuses on content ranking and reranking to enhance user engagement across various content types, including news and video feeds. The ideal candidate will possess deep expertise in large-scale recommendation systems and a strong architectural vision to drive innovation and cross-team collaboration. This position offers an opportunity to impact personalized content experiences for millions of users.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field with 6+ years of related experience, or a Master's Degree with 4+ years, or a Doctorate with 3+ years, or equivalent experience.
• 8+ years of experience in applied science, deep learning, or related fields with a proven track record of delivering production ML systems at scale.
• Expertise in recommendation systems, ranking models, search relevance, or personalization.
• Experience applying LLM techniques or recommendation systems.
• Proficiency in modern ML frameworks such as PyTorch or TensorFlow and cloud-scale infrastructure.
• Solid communication skills to articulate complex technical concepts to diverse audiences.
• Experience with LLM-based ranking, agentic AI, or generative AI applied to recommendation or personalization.
• Publications in top-tier ML/AI conferences such as NeurIPS, ICML, KDD, WWW, or RecSys.

• Design and implement ranking, reranking, and retrieval models using deep learning and advanced recommendation techniques.
• Architect the next generation of ranking and retrieval systems for large-scale content recommendation scenarios.
• Lead the design of robust and efficient ML/DL model pipelines, including feature engineering and model training.
• Drive innovation in model architectures, including deep learning and reinforcement learning.
• Partner with engineering, product, and platform teams to align roadmaps and ensure seamless delivery.
• Mentor team members and foster a culture of scientific rigor and operational excellence.
• Regularly communicate team progress and opportunities to management and leadership.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.