Member of Technical Staff, Applied Scientist

** Overview*
* We're seeking a Member of Technical Staff - Applied Scientist to help design and build advanced Copilot features such as Deep Research and Web artifact generation. This role demands deep expertise in large language models (LLMs) and a strong architectural mindset to shape complex, user-facing systems. You'll contribute to the evolution of Copilot by developing scalable methods for evaluating feature performance, designing data collection pipelines for prompt engineering and fine-tuning, and training content classifiers that support intelligent, context-aware interactions.

The ideal candidate brings hands-on experience in building applications powered by LLMs, along with a solid foundation in data science and machine learning. You're a proactive collaborator who communicates clearly, thrives in fast-paced environments, and takes ownership of delivering world-class consumer experiences. If you enjoy pushing the boundaries of AI-driven products and working across disciplines to create intuitive, high-impact solutions, we'd love to hear from you.

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

_By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week._

Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction.

** Responsibilities*
* + 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

** Qualifications*
* *
* Required Qualifications:

*
* + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)

+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)

+ OR equivalent experience.

+ Experience prompting, evaluating, and working with large language models.

+ Experience writing production-quality Python code.

*
* Preferred Qualifications:

*
* + Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)

+ OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)

+ OR equivalent experience.

+ Demonstrated interest in Responsible AI.

Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 -…