Applied Science: PhD Internship Opportunities, Turing

Microsoft • Redmond, WA

8d • $6,810 - $14,610

About The Position

As an Applied Science PhD Intern at Microsoft, you will work collaboratively to bring research into products and services. The role applies advanced research concepts to real-world needs and uses data analysis, modeling, machine learning, and/or AI, including LLMs, SLMs, and agents, to contribute to intelligent solutions and product quality. Interns collaborate with global teams on meaningful projects, explore emerging technologies, and receive support focused on learning and development.

The internship focuses on applied research in machine intelligence and machine learning, including developing and evaluating algorithms and scalable AI prototypes. You will prepare and adapt data for analysis and modeling, investigate product scenarios, and share research knowledge with team members.

Applicants must be pursuing a doctorate in a relevant field and have at least one additional academic quarter or semester remaining after the internship. They must also be enrolled in a relevant full-time bachelor's, master's, MBA, or PhD program during the academic term immediately before the internship. The base pay range is USD $6,810–$13,480 per month, with a range of USD $8,920–$14,610 per month for specific work locations in the San Francisco Bay Area and New York City metropolitan area. Certain roles may be eligible for benefits and other compensation.

Requirements

• Currently pursuing a doctorate in Statistics, Econometrics, Computer Science, Electrical Engineering, Computer Engineering, or a related field.
• Have at least one additional quarter or semester of school remaining after completing the internship.
• Be enrolled in a full-time bachelor's, master's, MBA, or PhD program in an area relevant to the role during the academic term immediately before the internship.

Nice To Haves

• Explore product challenges using state-of-the-art solutions.
• 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 or productionizing applied science solutions.
• Passion for building AI experiences and understanding how AI tools and technologies can improve relevance, discovery, personalization, and end-user satisfaction.

Responsibilities

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

What This Job Offers

• Job Type: Full-time
• Career Level: Intern
• Education Level: Ph.D. or professional degree