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Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead. Microsoft Research Asia (MSRA) is now poised to extend roles into Singapore and looking for candidates in Foundation Model innovations (LLM, vision, multi-modality, etc.), Deep Learning and Reinforcement Learning Foundation, Industrial AI application (e.g., AI for Healthcare, Embodied AI and Robotics, etc.). As Researcher, you will conduct research and leads research collaborations that yield new insights, theories, analyses, data, algorithms, and/or prototypes that advance the state-of-the-art of computer science and engineering, as well as general scientific knowledge. Formulates research problems in an area of study and initiates the design, development, execution, and implementation of a research agenda to further academic knowledge and close identified gaps. Provides expertise to product or business groups and may create long-term business opportunities through research outcomes, but not responsible for addressing immediate product needs or demonstrating a clear path to product. Microsoft's mission is to empower every person and every organization on the planet to achieve more.
Job Responsibility:
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
Supports the application and deployment of machine learning algorithms
seeks information to improve models
and helps create
apply
and verify models through iterations
Assists with experiments and sets up monitoring to track production 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
Requirements:
Master's Degree (or currently pursuing degree) in relevant field AND 1+ year(s) related research experience. OR equivalent experience.
Doctorate in relevant field. OR equivalent experience.
Experience in publishing academic papers as a lead author or essential contributor.
Experience in participating in a top conference in relevant research domain.
Nice to have:
Doctorate in relevant field
or equivalent experience
Experience in publishing academic papers as a lead author or essential contributor
Experience in participating in a top conference in relevant research domain