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Technical Advisor, Microsoft Superintelligence (Office of the CEO)

Microsoft· Software Engineering
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Mountain View, CA, Redmond, WA$119.8k - $234.7kFull-timePosted 7mo ago

About the role

Technical Advisor role within Microsoft Superintelligence (Office of the CEO) combining deep ML/SD engineering expertise with strategic advisory to executives. Focus on research problems, prototyping, evaluating tradeoffs, and synthesizing insights for executive decision-making across model development, infrastructure, safety, and alignment.

Responsibilities

  • Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio
  • Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work
  • Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions
  • Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership
  • Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work
  • Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives
  • Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities

Qualifications

  • Bachelor's degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience.
  • 8+ years of experience in software engineering, machine learning, or AI research.
  • Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field.
  • Software engineering skills with the ability to rapidly prototype and evaluate technical solutions.
  • Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas.
  • Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences.
  • Track record of operating effectively in fast-paced, ambiguous environments.
  • Ability to context-switch across diverse technical domains.
  • Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.).
  • Experience at a leading AI research lab or startup.
  • Experience with model training, infrastructure, or AI safety research.

Skills

Required:Strategy and executive communicationModel development and evaluation
Nice to have:Pre-training / post-training experimentation
Last updated Oct 2, 2026. Interested? Apply on the company site.

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