Applied Scientist: Internship Opportunities, Turing
About The Position
As an Applied Scientist Intern at Microsoft, you will work collaboratively to bring research into Microsoft products and services. You will apply advanced concepts to real-world needs, use state-of-the-art tools, and contribute to product quality and business outcomes through data analysis, modeling, machine learning, AI, LLMs, SLMs, and agents. The role offers hands-on project work with global teams and opportunities to develop skills and explore emerging technologies. You will analyze and improve advanced algorithms using large-scale datasets, translate product scenarios into machine-learning tasks, design experiments, and prototype scalable AI systems. You will also prepare and assess data for quality and technical constraints, help develop datasets and features for modeling, and adapt cleaned data for machine-learning use under senior-team-member direction.
Requirements
- Currently pursuing a bachelor's or master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field.
- Must have at least one additional quarter or semester of school remaining after completing the internship.
Nice To Haves
- Currently pursuing a master's degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or a related field.
- Passion for building AI experiences and understanding of how AI tools and technologies can improve relevance, discovery, personalization, and end-user satisfaction.
Responsibilities
- Analyze and improve advanced algorithms on large-scale datasets, including work in machine intelligence and machine-learning applications.
- Translate product scenarios and goals into machine-learning tasks, identify challenges, and design experiments for iteration and optimization.
- Implement prototypes of scalable systems for AI applications.
- Develop an understanding of research areas and applicable techniques, stay informed about industry trends, and share knowledge with immediate team members.
- Prepare data for analysis by reviewing quality criteria and technical constraints; recommend data to include or exclude 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.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
