Microsoft Senior Applied AI Engineer 

United States, Washington 

403462899

Required/Minimum Qualifications

• 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.
• 2+ years of experience shipping at large-scale ML/AI-based services or applications, preferably in the security domain on cloud platforms (Azure, AWS, GCP, etc.)
• 2+ years of relevant industry experience driving cutting-edge research into real world impact.

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 background and 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 6+ 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.
• Experience with generative AI/ agentic frameworks, multi modal models, training and fine-tuning of transformer-based models, information retrieval or reinforcement learning
• Experience in safety and ethical aspects of AI
• Experience in working with large-scale datasets.
• Experience in cyber security and safety domains, such as malware detection, fraud prevention, cyber-physical systems, adversary tradecraft, emerging threats or SOC operations

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• Conduct cutting-edge research that builds towards transformative defensive and red teaming AI capabilities with demonstrated scientific rigor.
• Champion innovative principles and forward-looking concepts guided by research trends in academia, OSS and industry.
• Work with defenders, threat hunters, PMs, researchers and engineers to turn research into effective solutions that improve our ability to protect ourselves.
• Build industry leading systems that are scalable, reliable, and secure with appropriate monitoring and alerting.
• Produce reliable and performant code and conduct design and code reviews to ensure alignment with standards and best practices.
• Follow release management policies to ensure data integrity, compliance, and system stability.

Other

• Embody our and