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Overview
Are you passionate about building cutting-edge AI technologies at Microsoft? Do you get excited about designing systems that can search through hundreds of billions of documents in just milliseconds? If you have the skills and ambition to work alongside some of the brightest minds in the industry on projects that will make a lasting impact, STCA Bing Search Fundamental Team is the place for you.
About the Bing Search Fundamental Team:
The Bing Search Fundamental Team is at the heart of Bing’s search engine. We manage tens of thousands of machines and deliver backend search services for document selection and ranking at massive scale. Our technology stack spans some of the most exciting areas in computing, including:
- Resource Scheduling
- Distributed Object Storage Systems
- Index Selection and Ranking
- AI-powered Search and NLP
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.
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.
- Responsibilities- Expertise in Deep Learning, especially Natural Language Processing (NLP) that power Bing search.
- Influence architecture and design decisions across teams, driving best practices and common patterns.
- Collaborate effectively with multiple teams, demonstrating solid partnership and communication skills.
Qualifications:
Required Qualifications:
Bachelor's Degree in Statistics, Computer Science, or related field AND 5+ years related experience (e.g., statistics predictive analytics, research)
OR Master's Degree in Statistics, Computer Science, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
OR Doctorate in Statistics, Computer Science, or related field AND 3+ year(s) related experience (e.g., statistics, predictive analytics, research)
OR equivalent experience.
Expertise in deep learning, machine learning, NLP , or related areas.
Ability to think creatively and deliver innovative solutions to complex problems.
Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications: Expertise in Deep Learning, especially Natural Language Processing (NLP).Experience in search technologies, information retrieval.
#MicrosoftAI
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
News & Buzz
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