채용
Required Skills
C
C++
C#
Python
Distributed Computing
Machine Learning
Overview
Microsoft AI Search Places is the center of excellence for understanding and using location and geospatial knowledge for 1st and 3rd party scenarios. Our location services are used broadly by major Microsoft products such as Bing, Copilot, Ads, Office, Windows, Teams, and we power the Azure Maps APIs offered to 3rd party developers. The Search Places team uses geospatial knowledge and advanced Artificial Intelligence technologies to bring high quality Location Search capabilities for people and businesses around the world
We are looking for a strong Software Engineer II with rich industry experience and diverse skills ranging from traditional distributed computing to hands-on expertise in artificial intelligence. This position offers great opportunities to work on challenging problems, build solutions using cutting-edge technologies and have a direct impact on millions of users worldwide. If you are eager to take on challenges, the Search Places team has an exciting opportunity for you!
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- Designs and builds software functionalities to improve service reliability, scalability, performance, security, efficiency, etc.
- Applies engineering techniques and machine learning solutions to solve complex geospatial suggestion and location search problems in production.
- Works on core technology and engineering stack to deliver features to ensure premium service quality internationally.
- Experiments with new technologies such as LLMs to improve quality and efficiency of the system.
- Collaborates with partner teams to understand their geospatial services requirements, develop high quality services & solutions to deliver value to our customers.
Qualifications:
Required:
- Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, C, C++, C#, or Python.OR equivalent experience.
- Capable of designing and implementing scalable production quality services and automated solutions to process large scale data.
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:
- Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, C, C++, C#, or Python.OR Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, C, C++, C#, or Python.
- OR equivalent experience.
- Maps/Geospatial experience.
- Understanding of Azure or other cloud services/functions.
- Leveraging Agentic Productivity Tools for tasks.
- Familiarity with machine learning frameworks and libraries and experience in machine learning and artificial intelligence projects.
- Strong collaborative and interpersonal communication skills.
#MicrosoftAI
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
Junior/L3
Mid/L4
Principal/L7
Senior/L5
Staff/L6
VP
Director
Junior/L3 · Software Engineer
0 reports
$219,263
total / year
Base
$161,991
Stock
$39,169
Bonus
$18,104
$156,314
$317,984
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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