Technical Advisor, Microsoft Superintelligence (Office of the CEO)

The Microsoft Superintelligence team is building Humanist Superintelligence - advanced AI designed to remain controllable aligned and firmly in service to humanity. As a lean fast-moving research lab within Microsoft AI we are focused on creating the safest most capable AI systems that amplify human potential and deliver tangible impact to billions of users worldwide.

Werelooking for a Technical Advisor to join Microsoft Superintelligence in the Office of the CEO of Microsoft AI. The right candidate combines deep technicalexpertisein machine learning and software engineering with the ability to provide strategic counsel on high-stakesdecisions. This role requires someone who can dive deep into research problemsevaluating models prototyping solutions and analyzing technical tradeoffswhile also synthesizing insights for executive across the full spectrum of our research efforts from model development and infrastructure to safety and alignment.

The ideal candidate thrives in ambiguity takes initiative and can context-switch fluidly between hands-on technical work and strategic advisory. You should be comfortable working across a variety of projects as they surface ad-hoc and able to clearly communicate findings in exec-level written documents.

Microsofts mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe 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.

This role is based in Mountain View CA or Redmond WA. Youare required tobe local to one of these locations and in office 3 days a week.

• Provide direct technical and strategic support to the CEO of Microsoft AIidentifying 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 trackingemergingtechniques 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

Required Qualifications:

• Bachelors degree in computer scienceor related technical fieldAND 4 years technical engineering experience with coding OR equivalent experience.

Preferred Qualifications:

• 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 technicalsolutions.

• Understandingmodern MLtechniques 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 recordofoperatingeffectively 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.