Senior Applied Scientist na Microsoft Corporation

Overview

Join the team that powers the most widely used operating system in the world. Windows is evolving into a secure, agent-first platform, and the Windows AI Platform team is at the forefront of this transformation. The team's mission is to lay the foundation for an agent-first Windows experience, driving innovation and reliability for users worldwide.

Our Charter: Advancing Windows through Three Pillars

• Search: Delivering fast, reliable, and relevant system and semantic search capabilities across all Windows surfaces. This enables users to quickly find information and resources, enhancing their productivity and overall experience within the Windows ecosystem.

• Agentic OS (AgOS): Developing secure primitives that empower agents to sense, reason, plan, act, and learn. These capabilities are designed with trust and privacy as core principles, ensuring that users’ data and activities remain protected while leveraging intelligent agent functionalities.

• AI Foundry / Windows AI APIs: Equipping developers with robust tools to build AI-powered applications. Through offerings such as Windows ML, WebNN, and Foundry, the team simplifies the processes of model conversion, optimisation, and hardware acceleration, making it easier for developers to integrate advanced AI capabilities into their applications.

Empowering Developers and Shaping User Experiences

The Windows Developer Platform team is responsible for creating the foundational capabilities that allow developers to build rich and modern applications for Windows. The team’s work has a profound impact, influencing the daily computing experience of more than a billion users around the globe. This role offers the unique opportunity to shape next-generation platform capabilities, collaborate across engineering teams, and contribute significantly to the ongoing evolution of the Windows app platform.

Team Values

Our team celebrates diversity in thought, background, and experience. We actively welcome individuals who bring curiosity, creativity, and a strong growth mindset, fostering an environment where new ideas and perspectives can thrive.

Responsibilities

You will master one or more subareas and gain expertise in a broad area of research, including applicable research techniques. You’ll also gain deep knowledge of a service, platform, or domain, and identify product needs by sharing the latest industry trends and applied technologies.

• You will review business requirements and incorporate research to meet business goals. You‘ll provide strategic direction for the kinds of data used to solve problems and apply deep subject matter knowledge to support business impact.

• You will participate in onboarding of junior team members and assist in developing academics to be members of multidiscipline teams. You’ll identify new research talent to join Microsoft and collaborate with the academic community to develop the recruiting pipeline.

• You will document work in progress and experimentation results and share findings to promote innovation. You’ll also use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.

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 RR 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).

• Electrical or Computer Engineering, or related field Strong customer focus and passion for doing the right thing for the customer.

• Proven ability to establish trusted, effective relationships across diverse sets of stakeholders.

• Excellent communication skills and cross group collaboration.

• Ability to keep pace with rapid innovations in the field and to be creative to solve problems with no past techniques.

• Experience in developing / working with highly scalable classifiers, ranking algorithms, SLMs, LLMs, Finetuning with RLHF, etc. will be a plus.

Preferred Qualifications:

• Master’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)  OR Bachelor’s degree with Computer Science with Data Science focus, Mathematics, Statistics, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) OR equivalent experience.

• 3+ years of working in an AI research facility or working with software services / experiences infused with AI. 

#W+DJOBS

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations. (https://careers.microsoft.com/v2/global/en/accessibility.html)