Senior Applied Scientist-Copilot Front Doors
Microsoft
full-time
Posted: September 26, 2025
Application Deadline: October 10, 2025
Number of Vacancies: 1
Job Description
Microsoft Copilot is revolutionizing how people work and has created an unprecedented opportunity to advance the state-of-the-art in a way that benefits millions of people. As a Senior Applied Scientist in Microsoft’s productivity division, your core mission will be to deliver exciting innovation in Microsoft Copilot that drives customer adoption and usage. We are looking for candidates who are creative, self-driven, curious, people-oriented and comfortable defining a path through ambiguity towards high-level goals. The successful applicant(s) will collaborate closely with people across Microsoft’s product teams to see their ideas realized in products and services that are used worldwide. 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.
Locations
- Redmond, Washington, United States
Salary
119,800 - 234,700 USD / yearly
Skills Required
- machine learningadvanced (AI/ML)
- deep learningadvanced (AI/ML)
- natural language processingadvanced (AI/ML)
- computer visionadvanced (AI/ML)
- statisticsadvanced (Data Science)
Required Qualifications
- Bachelor's Degree (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 4 years)
- Master's Degree (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 3 years)
- Doctorate (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 1 years)
- related experience (experience in statistics, predictive analytics, research, 1 years)
- developing and deploying products or systems (experience, 1 years)
- machine learning, deep learning, natural language processing, computer vision, and/or statistics (experience, 3 years)
Preferred Qualifications
- Bachelor's Degree (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 4 years)
- Master's Degree (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 4 years)
- Doctorate (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 2 years)
- applied research projects in industry environments (experience)
- coding and hands-on experience with foundation models (experience)
- collaboration and communication skills (experience)
Responsibilities
- Defining, leading, and helping to conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft’s core productivity products.
- Collaborating and coordinating with people in a range of roles, including researchers, engineers, product managers, designers, and other key product stakeholders.
- Generating ML / AI based models that can be shipped to customers to improve their experience and used internally to generate data insights to shape the features and products we ship to customers.
- Teaching, guiding, and tutoring colleagues without research backgrounds in state-of-the-art techniques and research best practices.
- Many of the things you will try should lead to unexpected outcomes. You must be comfortable learning from experience, developing new hypotheses, and iterating.
- Sharing project outcomes and insights with others via a range of means, including publication, to enable others to build on your work and to contribute to the understanding of our products as cutting-edge and science driven.
- Effectively communicating with product leaders throughout the planning and execution of applied research projects, which often involves learning and teaching complex concepts.
Benefits
- healthcare: Industry leading healthcare
- education: Educational resources
- discounts: Discounts on products and services
- savings: Savings and investments
- leave: Maternity and paternity leave
- time_away: Generous time away
- giving: Giving programs
- networking: Opportunities to network and connect
Travel Requirements
0-25 %
