The Member of Technical Staff – Applied Scientist role focuses on designing and building advanced Copilot features, leveraging expertise in large language models (LLMs). The ideal candidate will contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance and training content classifiers. This position requires a proactive collaborator who thrives in fast-paced environments and is committed to delivering high-quality consumer experiences. The role is based in Mountain View, CA, with an expectation of in-office work three days a week.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience, OR a Master's Degree in the same fields with 3+ years of experience, OR a Doctorate with 1+ year of experience, OR equivalent experience.
• Experience prompting, evaluating, and working with large language models.
• Experience writing production-quality Python code.

• Architect and implement advanced Copilot features such as Deep Research and Web artifact generation.
• Lead evaluation efforts of models deployed within Copilot, ensuring performance aligns with product goals.
• Design scalable systems that leverage large language models (LLMs) to deliver intelligent, user-facing experiences.
• Develop evaluation frameworks and metrics to assess feature performance and user impact.
• Conduct thorough reviews of data analysis and techniques to identify gaps and areas for re-examination.
• Build data collection pipelines to support prompt engineering and fine-tuning of LLMs.
• Track advances in industry and academia, identify relevant state-of-the-art research, and adapt algorithms to drive innovation.
• Train and optimize content classifiers to enable context-aware interactions within Copilot.
• Independently write efficient, readable, and extensible code and model pipelines.
• Contribute to defining the model quality roadmap for Copilot, balancing technical rigor with business and product priorities.
• Collaborate cross-functionally with product, engineering, and research teams to ship high-quality consumer features.
• Commit to a customer-oriented focus by validating customer perspectives, understanding broader context, and serving as a trusted advisor.
• Communicate technical concepts clearly and contribute to team-wide knowledge sharing.
• Take initiative in a fast-paced environment, driving innovation and continuous improvement in AI-powered products.

• 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.