Research SDE(2) at Microsoft

Beijing, Beijing, China -

Full Time

Start Date

Immediate

Expiry Date

27 Mar, 26

Salary

0.0

Posted On

27 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Systems, Programming, Data Analysis, ETL Pipelines, Deep Learning, Statistical Tools, Technology Transfer, Research, Documentation, Collaboration, Innovation, Quality Improvement, Performance Optimization, Communication

Industry

Software Development

Description

Overview Microsoft Research Asia Pacific (MSR Asia), established in 1998, is a leading research lab with major sites in Beijing and Shanghai. A group of talented researchers and engineers are working on state-of-the-art technologies every day to solve the most challenging problems in computing and its interdisciplinary areas. 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. Over the years, technologies developed by MSR Asia have made a significant impact within Microsoft and also around the world, and new, innovative technologies are constantly being born from the lab. Microsoft Research Asia (MSRA) is now looking for a research engineer with a demonstrated track record in AI/ML and Systems. Projects span across research areas such as artificial intelligence, machine learning, information retrieval, systems, and related areas. Responsibilities Collaborates with product and business groups to provide expertise and technology, participates in technology transfer, files patents, authors white papers, and develops tools/services for internal use. May publish research. Bridges the gap between researchers and development teams, bringing new technology and approaches into production to solve immediate product needs. Identifies and applies research-backed solutions to positively impact Microsoft products or services. Gains expertise in specific research subareas and broad research fields, applies advanced concepts to product needs, and consults with engineers and product teams. Researches tools and methods to improve product quality, performance, or efficiency. Reviews and prepares data for analysis, ensuring quality and technical constraints are met. Develops usable datasets for modeling, adapts cleaned data for machine learning, and designs ETL pipelines. Collaborates to apply state-of-the-art algorithms to business problems and uses statistical tools to evaluate machine learning models. Documents work in progress, experimentation results, and plans to ensure processes are captured, participates in creating informal documentation, shares findings to promote innovation, and follows ethics and privacy policies when executing research processes or collecting data. Qualifications Required Qualifications Master's or Ph.D. degree in relevant field. OR equivalent experience. Strong programming and communication skills. Minimum 3 years of industry experience with proven record of delivering high-impact solutions. Preferred Qualifications Good understanding of deep learning and industry-level systems. 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.

Responsibilities

The role involves collaborating with product and business groups to provide expertise and technology, as well as bridging the gap between researchers and development teams. Responsibilities also include researching tools and methods to improve product quality and documenting work processes.