Jobs
Overview
Microsoft AI Organization aims to the best user experience for Web Search, Advertisement, Cloud, and Enterprise services. The Search Experience Group in Microsoft AI has more than 400 scientists and engineers, working on various NLP/Advanced AI techniques and applications.
We’re seeking passionate and experienced engineers and scientists to advance our mission of delivering the best-in-class search experience. You’ll work with state‑of‑the‑art models and a modern tech stack across a wide range of NLP and Advanced AI technique challenges, driving both foundational innovation and real product impact.
Key focus areas
- Document understanding — building systems that interpret, structure, and reason over complex content
- Query understanding — modeling user intent to deliver highly relevant results
- Answer triggering and ranking — determining when and how to surface the best answers
- Content generation — producing high‑quality, context‑aware responses across modalities
- Cutting‑edge tech innovation — pushing the boundaries of model capabilities and translating breakthroughs into user‑facing featuress
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- Drive core technologies and E2E production delivery by leveraging State-of-Art technologies.
- Address challenges in products through SOTA approaches and transfer novel ideas to production applications.
- Development of deep learning models for Microsoft AI scenarios, including search and AIGC answers, knowledge experience, et al.
- Pushing the envelope on deep learning by: (1) Defining problems and establishing metrics (2) Gathering training data at scale (3) Exploring model design and architecture (3) Exploring learning objectives and tasks.
Qualifications:
Required Qualifications:
- Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
- OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 6+ years of working experience in NLP/search related areas.
- Eperience in applying deep learning, Advanced AI Techniques, RAG techniques and drive E2E AI product development.
- Experience in building and shipping an AI product from scratch.
- Passionate and self-motivated. Good communication skills, both verbal and written.
Preferred Qualifications:
- Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 9+ years related experience (e.g., statistics, predictive analytics, research)OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
- OR equivalent experience.
- 8+ years of working experience in NLP/search related areas.
- Experience in search stack.
- Solid problem-solving skills, and ability to work independently.
#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
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