招聘
Overview
The PROSE team is advancing the state of the art in program synthesis and shipping these innovations through flagship Microsoft products that impact millions of users worldwide. These products include the world’s most popular spreadsheet software Excel, the industry-leading IDEs Visual Studio and Visual Studio Code, GitHub Copilot, the power platform suite of products including Power BI, Power Apps, Power Automate, and other software tools including Azure Data Studio, Azure Data Monitor, Azure Data Factory, PowerShell, and SQL Server Management Studio. The application domains range from developer productivity, business user low-code/no-code scenarios to even programming education. To power these features PROSE has developed a powerful and flexible framework for program synthesis that leverages techniques from both logical reasoning and machine learning (including LLMs) and combines them in unique ways to synthesize programs automatically. This approach has been recognized with frequent papers at top-tier conferences and awards, including best paper and test-of-time awards.
We invite researchers with machine learning, programming language, or software engineering research to apply for a full-time Senior Researcher position on the PROSE team at Microsoft. The recent success of large language models (LLMs) creates an opportunity to take a qualitative step forward, to extend dramatically the reach of what users can do with Copilots. Our team provides a unique opportunity to work at the intersection of cutting-edge AI research and real-world impact, solving customer problems on a global scale. Researchers design and carry out the research underlying state-of-the-art systems and work together with world-class engineers to implement these systems in production. To learn more about our approach and culture see this award talk on the story behind one of the team’s early innovations: the Flash Fill feature in Excel.
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.
Responsibilities:
As a researcher, you will have the opportunity to:
- Design and carry out innovative AI research with applications to code and data platforms (e.g., Visual Studio and Excel).
- Work with engineers and PMs to deploy your research to customers.
- Collaborate with academic partners, mentor interns and longer-term research fellows.
- Publish in top-tier academic venues and interact with the broader academic community.
Qualifications:
Required/Minimum Qualifications:
- Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience.OR Bachelor's Degree in relevant field AND 4+ years related research experience.
- OR equivalent experience.
- At least 3 publications in top-tier machine learning, programming language, software engineering, human-computer interactions or relevant venues (e.g. AAAI, NeurIPS, ICML, ICLR, EMNLP, NAACL, ACL, POPL, PLDI, OOPSLA, ICSE, FSE, CHI, UIST, and comparable).
- Ability to develop an original research agenda, demonstrated by leading at least one publication in a top-tier machine learning, programming language, software engineering, HCI or relevant venue.
- At least 3 years of prior research experience in machine learning, programming language, software engineering, or human-computer interaction.
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:
- Experience working with large language models.
- Experienced in training transformer-based models, including data collection and curation, for research projects in both industrial and academic settings.
- Proficient in building interactive AI systems.
- Interested in applying machine learning to spreadsheet tasks.
- Previous experience in industrial research internships.
- Strong collaboration skills in multi-disciplinary or cross-functional teams.
- Excellent communication skills.
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
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3.8
5 reviews
Work Life Balance
4.1
Compensation
4.3
Culture
3.4
Career
3.2
Management
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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
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$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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