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Senior Researcher - AI Systems - Microsoft Research
United States, Washington, Redmond
·
On-site
·
Full-time
·
1mo ago
Compensation
$119,800 - $234,700
Required Skills
Machine learning systems
High-performance computing
AI infrastructure
Research
Overview:
Microsoft Research seeks a Senior Researcher specializing in one or more areas of Artificial Intelligence (AI) infrastructure, Machine Learning (ML) systems, and high-performance computing (HPC) systems. The position involves working collaboratively to advance state-of-the art in AI Systems and improving the efficiency and scalability of production systems across the full AI model lifecycle: pre-training, supervised fine-tuning, reinforcement-learning-based post-training, and inference.
At Microsoft, our mission—to empower every person and every organization on the planet to achieve more—guides how we partner with customers to deliver trusted, impactful solutions. With a growth mindset culture, we innovate responsibly and measure success by shared progress—people, teams, and customers. Join us to do meaningful work that changes the world and helps shape what’s next for everyone.
#MSRR
Responsibilities:
-
Drive high-impact research in AI infrastructure, ML systems, HPC systems, with a focus on building large production-scale systems.
-
Collaborate to develop and test out new ideas within existing or new collaborative teams.
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Build and maintain state of the art systems in this space.
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Collaborate in preparing technical papers and presentations.
Qualifications Required Qualifications:
- Doctorate (or are currently pursuing) in ML systems, high-performance computing, or relevant fields AND 3+ years related research experience
Preferred Qualifications
-
3 years of experience building large scale AI infrastructure, ML systems, and/or HPC systems.
-
Active participation in engineering efforts in the above areas, with involvement in building and maintaining systems.
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Active participation in research as demonstrated by publications.
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Demonstrable ability to work in a multi-disciplinary team.
Research Sciences 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
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
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
3.0
65%
Recommend to a Friend
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
Mid/L4
Principal/L7
Senior/L5
Staff/L6
Director
Mid/L4 · Data and Applied Scientist
0 reports
$202,099
total / year
Base
$149,342
Stock
$32,252
Bonus
$20,505
$139,572
$301,212
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
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
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