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Manager- Applied Sciences / Machine Learning

https://www.microsoft.com/ Logo

Microsoft Corporation

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Location:
United States , Redmond

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Contract Type:
Employment contract

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Salary:

163000.00 - 296400.00 USD / Year

Job Description:

The Microsoft Content Product team is seeking a Manager-Applied Sciences/Machine Learning (ML) to lead our Core Recommendation and Content Generation team. This is an exciting opportunity to shape the future of content services at Microsoft. Our vision is to enable billions of users worldwide to discover meaningful content and engage in conversations with friends, family, and colleagues. With nearly 1 billion monthly active users on Windows, and hundreds of millions more across Outlook, Teams, Edge, and Bing—as well as solid third-party partnerships—this role offers a unique opportunity to drive impactful, large-scale user engagement globally. We are looking for a leader who can combine deep expertise in LLMs and NLP with proven experience in people leadership. This role is ideal for someone who wants to guide teams building state-of-the-art AI systems, influence product direction, and deliver scalable solutions that improve how users discover and interact with content across Microsoft platforms.

Job Responsibility:

  • Lead and grow a team of Applied Scientists and Machine Learning Engineers, including hiring, coaching, and developing talent across Applied Science and engineering
  • Define technical vision and strategy for recommendation systems, Artificial Intelligence Generated Content (AIGC), and LLM-powered content generation
  • Drive end-to-end execution across multiple initiatives, from ideation and design to production and iteration
  • Oversee system architecture and scalability, ensuring robust, efficient, and high-quality ML solutions in production
  • Partner cross-functionally with product, engineering, and leadership teams to align on priorities and deliver customer impact
  • Champion innovation in AIGC applications, ranking, and recommendation algorithms
  • Mentor and elevate the team, fostering a culture of technical excellence, collaboration, and continuous learning
  • Communicate progress, insights, and strategy to senior leadership and stakeholders

Requirements:

  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience
  • OR equivalent experience
  • 3+ years of people management experience

Nice to have:

  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 12+ years related experience
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience
  • OR equivalent experience
  • 8+ years of industry experience in software engineering and/or machine learning, with prior experience leading teams or technical leadership roles
  • Solid hands-on background in machine learning, including LLMs, NLP, or recommendation systems
  • Proven track record of delivering large-scale, production-grade ML systems
  • Experience leading or owning critical projects in recommendation systems or AIGC scenarios
  • Proficiency in programming languages such as C/C++, C#, Java, and/or Python
  • Demonstrated experience managing and growing ML teams, including performance management and career development
  • Solid expertise in deep learning frameworks such as TensorFlow or PyTorch
  • Experience with LLM fine-tuning, evaluation, and real-world product deployment
  • Experience leading projects through full product lifecycle, from concept to launch and iteration
  • Background in distributed systems and large-scale data processing
  • Solid foundation in data structures, algorithms, and system design
  • Experience with large-scale data analytics tools such as Spark

Additional Information:

Job Posted:
May 05, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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