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Machine Learning Biomedical Internship Jobs in Michigan

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

CAE Engineering Intern - Fall 2026

Livonia, MI · On-site

$15.75 - $20.25/hr

Prior internship experience in mechanical engineering * Knowledge of machine learning / artificial intelligence applications in engineering * Experience using CAE software (Nastran, Abaqus, ANSYS)

Showing results 41-60

Machine Learning Biomedical Internship information

What is a machine learning biomedical internship?

A Machine Learning Biomedical Internship is a temporary position where students or recent graduates work with professionals to apply machine learning techniques in the biomedical field. Interns typically assist with data analysis, model development, and research projects that involve biological or medical data. The goal is to gain practical experience in using artificial intelligence to solve healthcare challenges, such as disease prediction, medical imaging, or drug discovery. These internships often require knowledge of programming languages like Python and familiarity with machine learning frameworks. They provide valuable hands-on experience and networking opportunities for those interested in biomedical data science careers.

What are the key skills and qualifications needed to thrive as a machine learning biomedical intern, and why are they important?

To excel as a Machine Learning Biomedical Intern, you need a solid background in computer science, statistics, and biology, often supported by coursework or a degree in related fields. Familiarity with programming languages like Python or R, experience with machine learning libraries (such as TensorFlow or scikit-learn), and knowledge of data analysis tools are typically required. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These competencies enable interns to develop effective models, collaborate with multidisciplinary teams, and contribute meaningful insights to biomedical research projects.

What types of projects do interns typically work on during a machine learning biomedical internship?

Interns in Machine Learning Biomedical roles often contribute to projects involving the development and validation of algorithms for analyzing medical data, such as imaging, genomics, or electronic health records. They may assist with data preprocessing, model training, and performance evaluation under the guidance of experienced researchers or engineers. Collaboration is common, as interns often work closely with interdisciplinary teams including data scientists, clinicians, and software engineers. This hands-on experience provides valuable exposure to real-world biomedical challenges while strengthening both technical and communication skills.

What are popular job titles related to Machine Learning Biomedical Internship jobs in Michigan?

For Machine Learning Biomedical Internship jobs in Michigan, the most frequently searched job titles are:

What cities in Michigan are hiring for Machine Learning Biomedical Internship jobs?

Cities in Michigan with the most Machine Learning Biomedical Internship job openings:

    Infographic showing various Machine Learning Biomedical Internship job openings in Michigan as of June 2026, with employment types broken down into 34% Internship, 33% Part Time, and 33% Temporary. Highlights an 100% In-person job distribution.

    Autonomous Driving Intern - Data, Tools & Simulation

    Isuzu Motors America LLC

    Plymouth, MI • On-site

    $20 - $34/hr

    Other

    Re-posted 19 days ago


    Job description

    Isuzu Technical Center of America is seeking an Autonomous Driving Intern - Data, Tools & Simulation to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
    JOB SUMMARY
    Supports verification and validation of Level 4 autonomous driving technologies using state-of-the-art approaches and methodologies. Works closely with Isuzu US and Japan teams, leading autonomous driving partner companies, and reputed research institutes on the validation and deployment of autonomous systems. Works at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and passionate environment. Performs tasks of increasing complexity throughout the internship.
    % of time spenton each activity
    PRINCIPAL DUTIES & RESPONSIBILITIES
    30%
    1.
    Collaborates with engineers to develop and validate related vehicular and sensory models and algorithms related to autonomous vehicle safety.
    20%
    2.
    Assists with analysis of on-road driving data and identification of safety trends or issues.
    20%
    3.
    Supports simulation of real-world driving scenarios to test and validate AV systems.
    20%
    4.
    Participates in cross-functional discussions and contributes ideas toward improving safety and reliability of AV systems.
    10%
    5.
    Prepares and communicates findings and technical updates to teams across the U.S. and Japan.
    6.
    Performs miscellaneous job-related duties as assigned.
    ORGANIZATIONAL RELATIONSHIPS
    • Reports to: Manager, Autonomous Driving & MBD

    EDUCATION, EXPERIENCE & TRAINING
    • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, or a related field
    • Academic focus or coursework in robotics systems, autonomous systems, machine learning (ML/DL/RL/VLM/LLM...), vehicle dynamics, or simulation is preferred
    • Prior internship or project experience in data analysis, programming, or automotive systems is a plus, but not required
    • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended)

    KNOWLEDGE
    • Foundational understanding of data analysis, statistics, or simulation
    • Basic knowledge of autonomous driving or vehicle safety systems is a plus

    SKILLS & ABILITIES
    • Strong analytical and problem-solving skills
    • Proficiency in Python, C++, or Java
    • Familiarity with simulation or machine learning tools is a plus
    • Effective communication and interpersonal skills
    • Ability to work independently and collaboratively within a team

    PHYSICAL STANDARDS
    The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.