This role is part of Microsoft's CoreAI team, focusing on the Experimentation Platform (ExP) that enhances AI-driven applications. The position involves pushing the boundaries of online experimentation methodologies and collaborating with various teams to deliver high-quality user experiences. You will be responsible for translating research into production-quality features and providing technical guidance on AI tools and methodologies. The role emphasizes mentorship and collaboration to drive Microsoft's experimentation initiatives.

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience, OR a Master's Degree in a related field AND 4+ years related experience, OR a Doctorate in a related field AND 3+ years related experience, OR equivalent experience.
• Ability to meet Microsoft, customer and/or government security screening requirements.
• Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience is preferred.
• Experience with agent-based architectures, frameworks, and technologies such as MCP, A2A protocol, or Azure AI Foundry.
• 3+ years of experience developing and deploying products or systems at multiple points in the product cycle.

• Collaborate with researchers to translate applied research into differentiated, production-quality features.
• Provide technical guidance and industry insight to cross-functional teams on AI tools and methodologies.
• Ensure teams develop advanced subject matter expertise across specialized tools and methods.
• Interface with experimentation partners to translate requirements into platform capabilities.
• Provide mentorship and coaching to less experienced team members.

• Employees at Microsoft are often offered comprehensive, “world-class” benefits—including health and mental-wellness programs, competitive pay with bonuses and stock awards, and retirement/savings options. Time-off and flexibility are common, with generous vacation and holidays, parental and caregiver leave, and flexible work schedules, alongside learning support, employee resource groups, product discounts, and matching-gifts/volunteering programs. Specific benefits can vary by region.