Member of Technical Staff - Engineering Manager, Copilot Memory and Personalization
at Microsoft
Posted 6 hours ago
No clicks
- Compensation
- $139,900 – $331,200 USD
- City
- San Francisco
- Country
- United States
Currency: $ (USD)
Lead and mentor a team of backend and machine learning engineers to build Copilot memory and personalization, delivering AI that remembers, evolves, and personalizes experiences for each user. Drive architecture decisions, design documents, and project planning; contribute hands-on to code and infrastructure while ensuring security and compliance. Coordinate cross-team efforts to ship AI-powered experiences that scale to millions of users and feel like a trusted partner rather than a tool.
Responsibilities
- Build and lead a team of backend and machine learning engineers, including driving project planning, prioritization of work, and designing features.
- Guides teams and leads identification of dependencies and the development of design documents for a product, application, service, or platform.
- Make hands-on contributions to the codebase and infrastructure.
- Guide architecture and design efforts by leading discussions, creating proposals and design documents, and ensuring solutions meet business, security, and compliance requirements.
- Ship AI powered experiences that will shape how millions of people will interact with AI in the future.
- Drive implementation of features and systems, breaking down long-term goals into clear milestones, aligning with release plans, and ensuring cross-team coordination.
Qualifications
- Bachelor's degree in computer science, or related technical discipline AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
- 3+ years of people manager experience.
- Bachelor's degree in computer science OR related technical field AND 10+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR master's degree in computer science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Proven experience building large-scale distributed systems and optimizing workloads for efficiency and scalability.
- Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
- Experience building large-scale ranking algorithms and recommender systems.
Software Engineering M5 - The typical base pay range for this role across the U.S. is USD $139,900 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering M6 - The typical base pay range for this role across the U.S. is USD $163,000 - $296,400 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $220,800 - $331,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
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.
