Principal Applied AI/ML Manager

Are you a customer-obsessed AI-practitioner who thrives in an inclusive, collaborative global team? The Azure Cloud Experiences Program (CXP) team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.

In the new era of AI, this Principal Applied AI/ML Manager within the Azure CXP Data & Applied Sciences team will provide you the opportunity to lead and deliver cutting-edge GenAI and ML solutions that drive specific, measurable, and impactful improvements to key areas of Azure customer experience. In an environment of high opportunity and impact, we are looking for a reliable leader who can deliver on key initiatives for Security, Reliability and Quality through advanced AI solutions with a team of Applied Scientists.

Every day, our customers stake their business and reputation on our cloud. You can help Azure CXP provide our customers with the world-class cloud services they need to succeed.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Relocation assistance is not provided for this role.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ 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 4+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 1+ year(s) people management experience.

Other Requirement:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:" before the Microsoft cloud background check statement.
  • Microsoft Cloud Background Check:
    • This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)

  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)

  • OR equivalent experience.

•  

  5+ years people management experience.
• 4+ years of hands-on experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
• 4+ years of relevant industry experience driving cutting-edge research into real world impact.  
• 2+ experience in applying LLMs (Large Language Models) towards successful product outcomes.
• Experience building LLM workflows using cloud services such as HuggingFace, Azure, Google Cloud, AWS, etc.
• Hands-on experience working with GenAI, LLM fine-tuning, knowledge graphs and/or reinforcement learning.
• Experience in safety and ethical aspects of AI.
• Demonstrated ability to simplify and explain complex ideas through written and verbal communication.
• Experience in working with large-scale datasets.

Applied Sciences M5 - The typical base pay range for this role across the U.S. is USD $137,600 - $267,000 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 $180,400 - $294,000 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

Microsoft will accept applications for the role until Aug 3, 2024.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

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This role demands deep technical innovation and collaboration across Microsoft research and CXP product and business teams to forge novel methods, tools, and frameworks that deliver highly performant AI capabilities with measurable impact on Customer Experience. The responsibilities will include:

• Co-lead the scale motion for the foundational architecture and AI framework with Engineering partners
• Research new methodologies and consult on technology options for best practices in AI feature delivery across the product portfolio
• Drive data-driven decisions for AI feature prioritization and delivery
• Design experiments to evaluate the performance and measure the impact of new AI/ML models and product features
• Lead the team to deliver key AI/ML capabilities across CXP products
• Ensure compliance to Responsible AI standards throughout the AI system lifecycle

Embody our Culture and Values