Microsoft Principal Applied AI Engineer 

United States, California, San Francisco 

117660491

Required/Minimum 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.
• 5+ years of experience with data science / machine learning with an emphasis on experimenting using Python, C#, etc.

Other Requirements

• 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: 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/Additional Qualifications

• Experience with large data and compute using tools like spark, SQL, databases, other cloud solutioning (e.g. deployment, monitoring).
• Experience communicating at different levels (e.g. customers, executives) to clarify problem statements, solutions and product feedback.
  3+ years experience developing and deploying products or systems at multiple points in the product cycle from ideation to shipping.
• 3+ years experience developing and deploying live production systems, as part of a product team.
• 5+ years experience conducting research as part of a research program (in academic or industry settings).
• 2+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• 5+ years experience creating publications (e.g., patents, libraries, peer-reviewed academic papers).
• 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.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until August 23, 2024.

• Align team efforts with product goals, steering toward a shared vision. bringing clarity of purpose to our team’s collective journey.
• Develop and share guidance - repositories, templates, demos, and more - to enable our customers with GenAI x Data. We are not just developing solutions; we are empowering others.
• Lead customer projects with curiosity and depth. Each endeavor is a stepping stone, elevating our understanding and refining our products.
• Continuously experiment and learn, embracing the cutting edge of Generative AI, tools, and stacks. We are trailblazers, shaping what is next.
• Cultivate the Generative AI developer community. Our impact scales beyond code - it’s about fostering connections, knowledge sharing, and adoption.
• Contribute to a culture of growth by supporting and mentoring teammates. We’re not just building software; we are nurturing each other’s potential. ​
• Embody our culture and values.

• Other

  • Embody our