Jobs

Member of Technical Staff - AI Pretraining - MAI Superintelligence Team
United Kingdom, London, London; Switzerland, Zürich, Zürich
·
On-site
·
Full-time
·
1mo ago
Required Skills
Python
C++
Deep Learning
Distributed Systems
Overview:
At Microsoft AI, we are on a mission to train the world’s most capable AI frontier models, pushing the boundaries of scale, performance and product deployment. The Pre-Training team at Microsoft AI tackles some of the most challenging problems in deep learning at scale. As a team, we will deliver one of the best foundation models in the world, forming the foundation of many initiatives across Microsoft AI. We are looking for outstanding individuals excited about contributing to the next generation of systems that will transform the field. We are looking for candidates who:
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Have proven expertise in areas of interest, evidenced by an exceptional publication track record and significant technical leadership in high-impact projects
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Exhibit strong analytical skills, attention to detail, and a commitment to data-driven decision-making
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Have experience and/or in-depth understandings about large-scale distributed systems
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Demonstrate an ability to work collaboratively in a fast-paced, innovative environment
Starting January 26, 2026, MAI employees are expected to work from a designated Microsoft office at least four days a week if they live within 50 miles (U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. -
Responsibilities- Develop algorithms, model architectures, data mixtures, and scaling laws for large-scale training using a rigorous data-driven approach grounded in meticulous ablations
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Drive algorithmic implementations, conduct experiments, and oversee flagship training runs on our in-house large-scale distributed stack
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Collaborate closely with teams on infrastructure, data, post-training, and multimodality
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Embody our culture and values.
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Qualifications Required/Minimum Qualifications - · Bachelor's Degree in Computer Science, or related technical discipline AND technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
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Proven expertise in the area of pretraining
Additional or Preferred Qualifications - Demonstrated experience in large-scale AI. -
Passionate about conversational AI and its deployment.
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Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers.
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Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies in AI.
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Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within the team.
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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