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Microsoft

Applied Science: PhD Internship Opportunities - Multiple Locations

Entry-Level JobVerifiedNo experience needed

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What they do

A Data Scientist utilizes skills and experience to systematically answer questions using data to provide actionable recommendations. Commonly utilizes advanced statistical analysis and machine learning techniques. Common responsibilities also include data cleaning and data management.

$138,705 / year median in California

+8% projected growth

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Job Description

Applied Science:

PhD Internship Opportunities - Multiple Locations Microsoft United States, California, Mountain View Sep 03, 2026

Overview Come build community, explore yourpassionsand do your best work at Microsoft with thousands of university interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential - and excitement for the journey ahead. As an Applied Science PhD Intern at Microsoft, you will be at the forefront of technological innovation, working collaboratively to bring research to life in our products and services.



You'llgainexpertiseincutting-edgeresearch areas, apply advanced concepts to real-world needs, and usestate-of-the-arttools to make a tangible impact on product quality and business outcomes.



You'llcontribute to the creation of intelligent solutions through data analysis, modeling, machine learning, and/or AI, LLM,SLMand agent, ensuring our productsremainat the leading edge of innovation. As an intern at Microsoft,you'restepping into a world of real impact from day one.



You'llcollaborate with global teams on meaningful projects, explorecutting-edgetechnologies like AI, and kick start your career while doing it. With a strong focus on learning and development, this is your opportunity to grow your skills, build community, and shape your future-all while beingsupportedevery step of the way. Microsoft's mission is to empower every person and every organization on the planet to achieve more. Asemployeeswe come together with a growth mindset, innovate and 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 Analyze and improve performance of advanced algorithms on large-scale datasets andcutting-edgeresearch in machine intelligence and machine learning applications. Think through the product scenarios and goals,identifykey challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization. Implement prototypes of scalable systems in AI applications.

Gain an understanding of a broad area of research and applicable researchtechniques, 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. Reviews data and suggests data to be included and excluded and be able to describe actions taken to address data quality problems. Assistwith 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

Qualifications Required Qualifications:

Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field. Must have at least oneadditionalquarter/semester of schoolremainingfollowing the completion of the internship. Candidatemust be enrolled in afull timebachelor's,masters, MBA, or PhD program inarearelevant for the role during the academic termimmediatelybefore their internship.

Preferred Qualifications:

Explore product challenges usingstate of the artsolutions. Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems. Experience running controlled experiments and interpreting offline and online evaluation metrics. Familiarity with large-scale distributed systems orproductionizingapplied science solutions. Passion for building AI experiencesand an understanding of how AI tools and technologies can be applied to improve relevance, discovery, personalization, and end-user satisfaction. The base pay range for this internship is USD $6,810.00 - $13,480.00 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and York City metropolitan area, and the base pay range for this role in those locations is USD $8,920.00 - $14,610.00 per month. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

https://careers.microsoft.com/us/en/us-intern-pay Microsoft accepts applications and processes offers for these roles on an ongoing basis throughout the academic calendar

(September - April) 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.