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

Philips•Plymouth, MN

6d•Onsite

About The Position

This internship opportunity is for individuals currently pursuing an undergraduate (BS) and/or graduate (MS) degree to participate in a 3-6 month paid internship at our site in Plymouth, MN. Through this role, you will gain meaningful, hands-on experience working for a HealthTech 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.

Requirements

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

Nice To Haves

Familiarity with development tools such as Git, Azure DevOps, Visual Studio, or similar tools is a plus.

Responsibilities

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.