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Applied Sciences INTERN

Microsoft


Job Location:

New York City, NY - USA

Monthly Salary: Not provided by the employer
Posted: 5 October 2026 (21 hours ago)
Application Deadline: 2 January 2027
Vacancies: 1 Vacancy

Job Summary

Overview

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. Youll 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. Youll contribute to the creation of intelligent solutions through data analysis modeling and machine learning ensuring our products remain at the leading edge of innovation.

At Microsoft Interns work on real-world projects in collaboration with teams across the world while having fun along the way. Youll be empowered to build community explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.



Responsibilities

  • Design implement and evaluate machine learning and AI solutions for real-world product scenarios.
  • Analyse and improve the performance of advanced algorithms on large-scale datasets.
  • Translate business and product challenges into machine learning research problems and experimental frameworks.
  • Design and execute rigorous experiments to evaluate model effectiveness and drive continuous improvement.
  • Develop train fine-tune and evaluate machine learning models including Large Language Models (LLMs) and Small Language Models (SLMs).
  • Build scalable prototypes and AI-powered systems that can be deployed in production environments.
  • Prepare clean and analyse large datasets while ensuring data quality and integrity.
  • Develop innovative approaches to model evaluation benchmarking and performance optimization.
  • Collaborate with researchers engineers and product teams to bring research breakthroughs into Microsoft products and services.
  • Document research findings communicate results and contribute to technical reports publications patents or open-source initiatives.

Stay informed of current industry trends and emerging research in AI Machine Learning and Generative AI.



Qualifications
  • Currently pursuing a PhD degree in Computer Science Artificial Intelligence Machine Learning Statistics Mathematics Electrical Engineering Computer Engineering Econometrics or a related technical field.
  • Must have at least one semester/quarter remaining following completion of the internship.
  • Research experience in Machine Learning Deep Learning Natural Language Processing Computer Vision Generative AI or related areas.
  • Strong programming skills in Python and experience with machine learning frameworks such as PyTorch TensorFlow or equivalent.
  • Experience designing experiments analysing results and applying statistical methods to solve research problems.
  • Demonstrated ability to formulate hypotheses conduct independent research and communicate technical findings effectively.

Experience working with large datasets and building end-to-end machine learning pipelines


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.


Required Experience:

IC