OverviewWe're looking for a Technical Advisor to join Microsoft Superintelligence in the Office of the CEO of Microsoft AI. The right candidate combines deep technical expertise in machine learning and software engineering with the ability to provide strategic counsel on high-stakes decisions. This role requires someone who can dive deep into research problems-evaluating models, prototyping solutions, and analyzing technical tradeoffs-while also synthesizing insights for executive decision-making. You'll work 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.
This role is based in Mountain View, CA or Redmond, WA. You are required to be local to one of these locations and in office 3 days a week.
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
QualificationsRequired Qualifications: - Bachelor's degree in computer science or related technical field AND 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 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.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
Software Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
