Senior Applied Scientist - Copilot Shared Services
Microsoft
full-time
Posted: October 7, 2025
Application Deadline: October 21, 2025
Number of Vacancies: 1
Job Description
Join an innovative team that delivers core Copilot Shared Services for our flagship Office Apps such as Word, Excel, and PowerPoint. Our mission is to deliver the next generation of personalized Copilot experiences leveraging best of breed Microsoft technologies across Copilot Platform, Microsoft Substrate, and beyond. Consider this opportunity to advance our approach in ways that benefits millions of people. We will achieve this through innovation and vision for our next-gen solutions, connecting key partnerships across Microsoft, and influencing best-of-breed advancements leveraging AI technology. Within Copilot Shared Services, we apply new foundational LLMs, create advanced ML techniques, develop rich algorithms, and leverage AI and the skills of Applied Science to accelerate developmental advancements and improve quality of our customer experiences. We invest in agentic solutions and are working to advance methods of evaluation and automated customer solutions. We are looking for a Senior Applied Scientist to join our team to help establish the vision of the future. In this role, you’ll work closely with engineers, program managers, data scientists and applied scientists to improve our approach to personalized experiences, best leverage and fine tune foundational models, advance evaluation techniques, and improve engineering productivity. If you're excited about an opportunity to advance applied AI and making a difference in the future of Copilot for Office apps, 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.
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)
- Statisticsadvanced (Data Science)
- Prompt Engineeringintermediate (AI/ML)
- LLM Fine-tuningadvanced (AI/ML)
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 (e.g., statistics predictive analytics, research) (experience)
- applying research, including the large-scale application of new ideas over theory and prototypes (experience)
- developing and deploying products or systems at multiple points in the product cycle from ideation to shipping (experience, 1 years)
- machine learning, deep learning, natural language processing, computer vision, and/or statistics (experience, 3 years)
Preferred Qualifications
- Master's Degree (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 6 years)
- Doctorate (degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field, 3 years)
- creating publications (e.g., patents, libraries, peer-reviewed academic papers) (experience, 3 years)
- presenting at conferences or other events in the outside research/industry community as an invited speaker (experience)
- conducting research as part of a research program (in academic or industry settings) (experience, 3 years)
- developing and deploying live production systems, as part of a product team (experience, 1 years)
- developing and deploying products or systems at multiple points in the product cycle from ideation to shipping (experience, 1 years)
- working on successful applied research projects in industry environments (experience)
- coding and hands-on experience working with foundation models (experience)
- collaborating and communicating both within-team and cross-team, and experience working through problems in ambiguous environments adapting to new research challenges as technology develops (experience)
Responsibilities
- Define, lead, and help to conduct research projects and workstreams that directly benefit our customers, drive positive usage, and improve Microsoft’s core productivity products.
- Formulation of advanced prompt engineering, selecting and fine-tuning LLMs, designing and managing evaluation datasets, develop concepts for more efficient and accurate solutions, and researching and assessing different architectures and approaches from across the M365 ecosystem.
- Collaborate and coordinate with people in a range of roles, including researchers, engineers, product managers, designers, and product leaders and other key product stakeholders.
- Generate 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.
- Teach, guide, and tutor colleagues without research backgrounds in state-of-the-art techniques and research best practices.
- Iterate on existing hyptohesis to deliver world-class features.
- Share 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.
- Embody the Microsoft culture and values.
Benefits
- healthcare: Industry leading healthcare
- education: Educational resources
- discounts: Discounts on products and services
- savings: Savings and investments
- leave: Maternity and paternity leave
- time_off: Generous time away
- giving: Giving programs
- networking: Opportunities to network and connect
Travel Requirements
None
