Description
Summary
Microsoft are looking for a talented Member of Technical Staff, Applied Scientist - Windows Copilot at their Redmond office. This role sits at the heart of redefining how AI enhances everyday computing. You'll work directly with leadership to shape the company's direction in the Windows Copilot team.
About the Role
The Windows Copilot team is at the forefront of redefining how AI enhances everyday computing. This team owns the full stack—from cutting-edge AI infrastructure and model development, to crafting seamless user experiences directly in Windows. We’re building and shipping consumer-scale services that are transforming how users interact with their PCs. Whether it’s designing intelligent prompts, engineering robust backends to interface with models, or developing native Windows platform and UX features, this team does it all.
As an Applied Scientist, you will lead the end-to-end model-building process, including problem understanding, data curation, model development, deployment, and iteration based on real-world feedback. This role will serve as a critical bridge between Microsoft Research and the engineering team, taking increasing ownership of model training responsibilities.
Accountabilities
- Develop and refine data pipelines and infrastructure to support AI model development for Copilot.
- Collaborate with research teams to integrate cutting-edge AI advancements into production systems.
- Design, train, and evaluate machine learning models, ensuring performance optimization and scalability.
- Work closely with engineering and product teams to ensure AI-driven experiences meet quality and user experience standards.
- Conduct rigorous data analysis and experimentation, leveraging insights to improve Copilot’s intelligence.
- Overcome obstacles to deliver iterative improvements in AI performance and responsiveness.
- Stay ahead of the latest innovations in deep learning, reinforcement learning, and generative AI.
The Candidate we're looking for
Experience:
- 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.
Technical skills:
- Proven track record of deploying machine learning models in large-scale production environments.
- 9+ years of experience building data pipelines, training deep learning models, and optimizing AI workflows.
Personal attributes:
- Strong problem-solving skills and ability to work independently.
- Excellent communication and collaboration skills.
- Ability to work in a fast-paced environment and adapt to changing priorities.
Benefits
- Competitive salary range: $119,800 - $234,700 per year.
- Comprehensive benefits package, including medical, dental, and vision insurance.
- 401(k) matching program.
- Paid time off and holidays.
- Opportunities for professional growth and development.
- Collaborative and dynamic work environment.