Member of Technical Staff, AI Post Training Platform

Help build the world’s most advanced post-training platform at Microsoft AI! We're on a mission to make algorithms in post-training reliable, extensible, and widely usable by many product teams. As part of our team, you'll set the foundation for the alignment and improvement of autonomous, agentic, reliable, and trustworthy AI. Your work will enhance the rigor of our post-training tooling and contribute to groundbreaking AI systems that push the boundaries of what's possible.

We are looking for outstanding AI Post Training Platform Engineers excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:

• Excel in coding and API design,
• Have a background in machine learning and scientific computing,
• Will thrive in a highly collaborative, fast-paced environment,
• Have a high degree of craftsmanship and pay close attention to details,
• Effectively manage multiple responsibilities and can adjust to shifting priorities.

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.

By applying to this U.S. Mountain View, CA position, you are required to be local to the San Francisco area and in office 3 days a week.

Responsibilities

• Design and develop the core infrastructure of the AI Post training Platform, focusing on systematizing and extending post-training algorithms for a variety of present and future use-cases.
• Build robust APIs, scale them out, and develop robust data pipelines.
• Collaborate with cross-functional teams to ship new agentic AI workflows. ·
• Embody our Culture and Values. 

Qualifications

Required 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.

• 4+ years of experience with coding and API design. 
• Background in scientific computing or machine learning. 

Preferred 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.

• Experience with large-scale software systems and infrastructure. 

• Demonstrated interest in post-training methods, tooling, and design. 
• Demonstrated experience with AI model training, post-training tooling, and autonomous agent workflows. 
• Ability to work collaboratively in a fast-paced, innovative environment.<