招聘
Required Skills
Machine Learning
Overview
Masters one or more subareas and gains expertise in a broad area of research. Identifies and articulates problems in an area of research that are academically novel and may directly or indirectly impact business opportunities. Researches and develops an understanding of the state-of-the-art insights, tools, technologies, or methods being used in the research community. Advances a research agenda in one or more subareas or a broad area of research. Contributes to ethics and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices. Expands collaborative relationships with relevant product and business groups inside or outside of Microsoft as a world expert and provides expertise or technology to them. Collaborates with other relevant researchers or research groups to contribute to or advance a research agenda. Provides mentorship by participating in onboarding to less experienced team members and guiding less experienced team members in processes and scenarios, research projects, and their careers.
Responsibilities Capability Building Provides mentorship by participating in onboarding to less experienced team members (e.g., interns, early-in-career researchers) and guiding less experienced team members in processes and scenarios, research projects, and their careers. Execution of Research Agendas Masters one or more subareas (e.g., Object Recognition, Text Classification) and gains expertise in a broad area of research (e.g., Machine Learning ML, Natural Language Processing, Computer Vision, Statistical Modeling). Understands the corresponding literature, applicable research techniques, and academic context.
Identifies and articulates problems in an area of research that directly or indirectly impact business opportunities. Advances a research agenda through one or more research projects, yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data in one or more subareas or a broad area of research. Advances a research agenda through research projects, yielding new algorithms, prototypes, theories, tools, methods, analyses, insights, or collections of data in one or more subareas or a broad area of research.
Contributes to security, ethics, and privacy policies related to research processes and/or data/information collection by providing updates and suggestions around internal best practices. As appropriate, develops and deploys computing technologies that uphold trustworthiness, robustness, privacy, values, and ethical considerations. Incorporates security guidelines into research design and operations. Researches and develops an understanding of the state-of-the-art insights, tools, technologies, or methods being used in the research community. Applies deep subject matter expert knowledge around several specialized tools/methods to support planning for research projects. Begins to evaluate insights based on their impact and value. Impact Expands collaborative relationships with relevant product and business groups inside or outside of Microsoft as a domain expert and provides expertise or technology to them. Takes initiative and participates in activities such as incorporating relevant data security considerations and guidelines, technology transfers, benchmarking technology with public domain data, filing patents, authoring white papers, developing or maintaining tools/services for internal Microsoft use, or consulting for product or business groups.
Collaborates with other relevant researchers, research groups, or engineering teams to contribute to or advance a research agenda. Contributes to organizing workshops or conference sessions. Publishes papers as lead author for high-quality conferences and journals, with an impact similar to that of a (United States) assistant professor.
Qualifications:
Required 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.
Additional or preferred qualifications - Doctorate in relevant field AND 3+ years related research experience OR Master's Degree in relevant field AND 6+ years related research experience OR Bachelor's Degree in relevant field AND 8+ years related research experience OR equivalent experience. - Experience publishing academic papers as a lead author or essential contributor.
- Experience participating in a top conference in relevant research domain.
Research Sciences IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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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4.3
Culture
3.4
Career
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Management
3.0
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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
$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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