Researcher
Microsoft
Job Overview
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Job Description
Overview
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. 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
- 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.
Qualifications
Required Qualifications
- Master's Degree (or currently pursuing degree) in relevant field AND 1+ year(s) related research experience. OR equivalent experience.
Preferred Qualifications
- 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.
Key skills/competency
- Foundation Models
- Deep Learning
- Reinforcement Learning
- Industrial AI
- AI for Healthcare
- Embodied AI
- Robotics
- Data Analysis
- ETL Pipelines
- Algorithm Design
How to Get Hired at Microsoft
- Research Microsoft's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Customize your CV to highlight experience in Foundation Models, Deep Learning, and AI for Healthcare, matching keywords from the Researcher job description.
- Showcase research impact: Prepare to discuss your academic papers, contributions to top conferences, and how your research drives tangible outcomes.
- Master technical concepts: Be ready for in-depth questions on LLMs, multi-modality, Deep Learning, Reinforcement Learning, and data pipeline design relevant to a Microsoft Researcher.
- Demonstrate collaborative spirit: Highlight experiences where you've successfully collaborated with product teams and transferred research into practical applications.
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