
Applied Science: PhD Internship Opportunities, Turing
Redmond, WAInternship$6,810–13,480/moSeen todaySeen in employer's feed today
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At a glance
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Requirements
Credentials this posting asks for.
Job overview
As an Applied Science PhD Intern at Microsoft, the candidate will collaborate on research that informs products and services. The role applies data analysis, modeling, machine learning, and AI concepts to real-world needs, contributing to intelligent solutions and product outcomes. Interns work with global teams on meaningful projects and develop expertise in research areas while learning and growing in an inclusive environment.
Skills & qualifications
Skills
Qualifications
Full job description
Overview
Come build community, explore your passions and 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'll gain expertise in cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to make a tangible impact on product quality and business outcomes. You'll contribute to the creation of intelligent solutions through data analysis, modeling, machine learning, and/or AI, LLM, SLM and agent, ensuring our products remain at the leading edge of innovation.
As an intern at Microsoft, you’re stepping into a world of real impact from day one. You’ll collaborate with global teams on meaningful projects, explore cutting-edge technologies 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 being supported every step of the way.
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 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
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Analyzes and improves performance of advanced algorithms on large-scale datasets and cutting-edge research in machine intelligence and machine learning applications.
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Thinks through the product scenarios and goals, identify key challenges, then fit the scenario asks into Machine Learning (ML) tasks, design experimental process for iteration and optimization.
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Implements prototypes of scalable systems in AI applications.
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Gains 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.
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Prepares 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.
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Assists with the development of usable datasets for modeling purposes and support the scaling of feature ideation and data preparation.
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Helps take cleaned data and adapt for machine learning purposes, under the direction of a senior team member
Qualifications
Required Qualifications:
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Currently pursuing a Doctorate Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field.
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Must have at least one additional quarter/semester of school remaining following the completion of the internship.
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Candidate must be enrolled in a full time bachelor's, masters, MBA, or PhD program in area relevant for the role during the academic term immediately before their internship.
Preferred Qualifications:
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Explore product challenges using state of the art solutions.
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Research publications, coursework, or project experience relevant to search, language models, recommender systems, geospatial or location intelligence, or content and commerce systems.
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Experience running controlled experiments and interpreting offline and online evaluation metrics.
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Familiarity with large-scale distributed systems or productionizing applied science solutions.
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Passion for building AI experiences and an understanding of how AI tools and technologies can be applied to improve relevance, discovery, personalization, and end-user satisfaction.
#EiP
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 New 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)
How this job compares
Set against the 4,869 open Researcher jobs on Olive Jobs, counted October 31, 2026.
- Pay
- This posting$6,810–13,480/mo
- Washington median$143–193K/yr76 salary ranges
- US median$25–36/hr367 hourly ranges
- Openings
- Olive Jobs lists 100 open Researcher jobs in Washington and 4,869 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in Washington
- Amazon28 open
- Google12 open
- Microsoft Corporation (this employer)11 open
- Experience
- Researcher postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (1,605 postings).
- Education
- This posting asks for a doctorate or professional degree; 2,072 of the 4,869 open Researcher jobs (43%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on October 31, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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