Applied Science PhD Internship

Overview

Join thousands of university interns from around the world at Microsoft. This opportunity lets you bring your aspirations, talent and potential to the journey ahead.

As an Applied Science PhD Intern, you will work at the forefront of technological innovation and help bring research to life in Microsoft products and services. You will learn about cutting-edge research areas, apply advanced concepts to real-world needs, and use state-of-the-art tools to improve product quality and business outcomes. You will help build intelligent solutions through data analysis, modeling, machine learning and AI, including LLM, SLM and agent work.

As an intern, you will take on real impact from day one. You will collaborate with global teams on meaningful projects, explore technologies such as AI, and kick-start your career. The internship focuses on learning and development, so you can grow your skills, build community and shape your future with support throughout.

Microsoft's mission is to empower every person and every organization on the planet to achieve more. Employees come together with a growth mindset, innovate and empower others, and collaborate toward shared goals. Microsoft's values of respect, integrity and accountability support a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Analyze and improve the performance of advanced algorithms on large-scale datasets, and work on cutting-edge research in machine intelligence and machine learning applications.
• Think through product scenarios and goals, identify key challenges, translate scenario needs into Machine Learning (ML) tasks, and design experimental processes for iteration and optimization.
• Implement prototypes of scalable systems for AI applications.
• Build an understanding of a broad area of research and applicable research techniques, along with basic knowledge of industry trends, and share knowledge with immediate team members.
• Prepare data for analysis by reviewing quality and technical criteria, suggest data to include or exclude, and describe actions taken to address data quality problems.
• Help develop usable datasets for modeling and support the scaling of feature ideation and data preparation.
• Adapt cleaned data for machine learning purposes under the direction of a senior team member.

Certain roles may be eligible for benefits and other compensation. Microsoft is an equal opportunity employer and considers all qualified applicants without regard to protected characteristics.