Intern – Data AI​/ML Engineering – Plymouth, MN – Summer

Intern – Data AI/ML Engineering – Plymouth, MN – Summer 2027

Intern – Data AI/ML Engineering – Plymouth, MN – Summer 2027 Are you interested in an Internship opportunity with Philips? We welcome individuals who are currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3-6 month paid intern opportunities at our site in Plymouth, MN. Through this role you will gain meaningful, hands-on experience working for a Health Tech company.

As a Data AI/ML Engineering Intern, you’ll be part of a high-performing Software and AI/ML Engineering team within the Image Guided Therapy Devices, IGT-D, Software R&D group, based in Plymouth, MN. In this role, you will support the development, analysis, validation, and documentation of data-driven and machine-learning-enabled workflows for clinical imaging software applications. You will work closely with AI/ML engineers, data scientists, software engineers, product owners, testers, and cross-functional stakeholders to help improve the quality, reliability, traceability, and performance of data and AI/ML models used in medical device software.

This is a great way to spend your summer gaining practical experience in healthcare technology, medical imaging data, machine learning workflows, and regulated medical device software development, while contributing to technology that can improve clinical workflow efficiency for physician customers and support better outcomes for patients.

Work closely with a member of the Software and AI/ML Engineering team to identify a focused summer project that can be completed during the internship. Support gathering, processing, organizing, and analyzing raw data from different sources, with a focus on clinical imaging or healthcare-related datasets. Assist with exploratory data analysis to identify patterns, trends, data quality issues, unexpected results, or potential preprocessing concerns.

Help verify the quality, consistency, and reliability of data sources used for AI/ML model development and validation. Support documentation of data sources, data cleaning processes, exploratory analysis, assumptions, parameters, and performance metrics. Assist data scientists and machine learning engineers with model training, evaluation, tuning, and performance analysis under the guidance of experienced team members.

Complete required training necessary to comply with regulatory requirements and quality management system standards. Create and present an end-of-summer intern presentation summarizing your project, technical approach, results, learnings, and impact.

• Pursuing a bachelor’s degree in computer science, computer engineering, or a related field.
• Interested in AI/ML, data science, medical imaging, healthcare data, clinical imaging software, or medical device software development.
• Exposure to data analysis, machine learning, statistics, or model evaluation through coursework, academic projects, research, internships, or personal projects.
• Good problem-solving, debugging, analytical thinking, communication, technical writing, and presentation skills.
• Familiarity with development tools such as Git, Azure Dev Ops, Visual Studio, or similar tools is a plus.
• Team player with good communication, technical writing and presentation skills.
• Willing and capable of working on-site in the office at our Plymouth, MN site.

You must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. Onsite roles require full-time presence in the company’s facilities. Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations. This is an office role.

We are a health technology company. We built our entire company around the belief that every human matters, and we won’t stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of…