Applied Science PhD Internship Opportunities Multiple Locations

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 -edgeresearch areas apply advanced concepts to real-world needs and usestate-of-the-arttools to make a tangible impact on product quality and business to the creation of intelligent solutions through data analysis modeling machine learning and/or AI LLMSLMand agent ensuring our productsremainat the leading edge of innovation.

As an intern at Microsoftyourestepping into a world of real impact from day 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 futureall while beingsupportedevery step of the way.

Microsofts 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.

• 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 goalsidentifykey 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