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Technical Advisor, Microsoft Superintelligence (Office of the CEO)
United States, California, Mountain View; United States, Washington, Redmond
·
On-site
·
Full-time
·
3w ago
Compensation
$119,800 - $234,700
Required Skills
Software engineering
Machine learning
Technical communication
Overview
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.
We'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.
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.
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
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Provide direct technical and strategic support to the CEO of Microsoft AI—identifying opportunities and risks across our research portfolio
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Engage deeply with research teams on pre-training, post-training, multimodal systems, infrastructure, and safety/alignment work
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Prototype and evaluate models, techniques, and infrastructure to develop insights and inform strategic decisions
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Analyze technical tradeoffs and synthesize findings into clear, actionable recommendations for leadership
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Stay at the forefront of AI research, tracking emerging techniques and evaluating their applicability to our work
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Drive critical technical initiatives from conception through execution, ensuring alignment with strategic objectives
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Serve as a bridge between the CEO and research teams, ensuring clear communication and alignment on priorities
Qualifications Required Qualifications:
- Bachelor's degree in computer science or related technical field AND 4+ years technical engineering experience with coding OR equivalent experience.
Preferred Qualifications:
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8+ years of experience in software engineering, machine learning, or AI research.
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Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field.
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Software engineering skills with the ability to rapidly prototype and evaluate technical solutions.
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Understanding modern ML techniques, including large language models, multimodal systems, agents, or related areas.
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Written and verbal communication skills, with the ability to distill complex technical concepts for executive audiences.
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Track record of operating effectively in fast-paced, ambiguous environments.
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Ability to context-switch across diverse technical domains.
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Published research at top ML/AI venues (NeurIPS, ICML, ICLR, ACL, etc.)
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Experience at a leading AI research lab or startup.
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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 $158,400 - $258,000 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 $139,900 - $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.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
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About Microsoft
Reviews
3.8
5 reviews
Work Life Balance
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Compensation
4.3
Culture
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Career
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Management
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Pros
Excellent compensation and benefits package
Four-day workweek with improved work-life balance
Supportive managers and teams
Cons
High-pressure environment causing anxiety
Unprofessional interview processes
Limited creative work opportunities
Salary Ranges
5,571 data points
Junior/L3
Mid/L4
Junior/L3 · Advertising Client Success
2 reports
$163,358
total / year
Base
$141,875
Stock
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Bonus
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$163,358
$163,358
Interview Experience
7 interviews
Difficulty
3.7
/ 5
Duration
14-28 weeks
Offer Rate
14%
Experience
Positive 14%
Neutral 29%
Negative 57%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Technical Interview
5
Onsite/Virtual Interviews
6
Final Round
7
Offer
Common Questions
Coding/Algorithm
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