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PhD Research Internship in Applied Science at Microsoft
2 months ago
Come and be part of a dynamic team at Microsoft, where you can explore your passions and do your best work. As a PhD Research Intern in Applied Science, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services.
Key Responsibilities:- Analyze and improve the performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
- Think through product scenarios and goals, identify key challenges, and fit the scenario asks into Machine Learning (ML) tasks, design experimental processes for iteration and optimization.
- Implement prototypes of scalable systems in AI applications.
- Gain an understanding of a broad area of research and applicable research techniques, as well as a basic knowledge of industry trends and share your knowledge with immediate team members.
- Prepare data to be used for analysis by reviewing criteria that reflect quality and technical constraints.
- Assist with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
- Help take cleaned data and adapt for machine learning purposes, under the direction of a senior team member.
- Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
- Must have at least one additional quarter/semester of school remaining following the completion of the internship.
- The base pay range for this internship is USD $6,550 - $12,880 per month. 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 $8,480 - $13,920 per month.
Microsoft is an equal opportunity employer. Consistent with applicable law, 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.
