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Senior Researcher

Microsoft

Senior Researcher

Microsoft

Singapore, Singapore, Singapore; Japan, Tokyo-to, Tokyo

·

On-site

·

Full-time

·

3mo ago

Overview
As one of the world's leading industrial research laboratories, Microsoft Research (MSR) has more than 1,000 researchers and engineers working across the globe. In past 30 years, Microsoft scientists have not only carried out world-class computer science research, but also transferred the advanced technologies into our products and services that have changed millions of people’s lives and ensured that Microsoft is at the forefront of digital transformation. Part of Microsoft Research, Microsoft Research Asia (MSR Asia), established in 1998, is a leading research lab with major sites in Beijing, Shanghai, Vancouver and Tokyo. Over the years, technologies developed by MSR Asia have made a significant impact within Microsoft and around the world, and new, innovative technologies are constantly being born from the lab. As one of the world-class research labs, MSRA offers an exhilarating, supportive, open and inclusive environment for top talents to create the future through their disruptive and cutting-edge research. (More information about  Microsoft Research Lab - Asia - Microsoft Research). Along with business growth, Microsoft Research Asia (MSRA) is now poised to extend roles into Singapore and looking for a Researcher in Foundation Model innovations (LLM, Vision, Multi-modality, etc.), Deep Learning and Reinforcement Learning Foundation, AI for Healthcare, Embodied AI and Robotics, Societal AI, Industrial AI application, etc.

Responsibilities

- Conduct cutting-edge research in large foundation models and generative AI, focusing on applying large foundation models and generative AI in real-world industrial scenarios.

- Collaborate with cross-functional teams to develop AI solutions to address real-world problems in various industry sectors.

- Develop and maintain research prototypes and software tools, ensuring that they are well-documented and adhere to best practices in software development.

- Publish research findings in top-tier conferences and journals and present your work at industry events.

- Collaborate with other AI researchers and engineers, sharing knowledge and expertise to foster a culture of innovation and continuous learning within the team.



Qualifications

- Doctorate in relevant field AND 1+ year(s) related research experience OR equivalent experience.

- Experience developing AI solutions for real-world industry applications.

- Experience publishing academic papers as a lead author or essential contributor.

- Deep knowledge about latest large foundation models and their applications

- Strong communication skills to engage with various collaborators both externally and internally

- Keen interest in general AI research, including but not limited to large foundation models, generative AI, multimodal learning, resource-efficient learning and Industry AI. 


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

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

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

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

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