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Machine Learning Developer Intern Jobs in Ann Arbor, MI

Socket.dev

Senior AI Engineer

Farmington Hills, MI · On-site

$140 - $210/hr

Design, develop, and deploy AI and machine learning solutions that address business and engineering use cases. * Build and optimize generative AI applications, including chatbots, document ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Put People First reflects our commitment to safety and care of each other, learning and development ...

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Showing results 41-60

All JobsMachine Learning Developer Intern JobsMachine Learning Developer Intern Jobs in Ann Arbor, MI

Machine Learning Developer Intern information

See Ann Arbor, MI salary details

$24.9K

$41.7K

$86.1K

How much do machine learning developer intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning developer intern in Ann Arbor, MI is $41,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,800.00 and $45,000.00 per year, depending on experience, location, and employer.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

Machine Learning Developer Intern jobs near you

Autonomous Driving Intern - Data, Tools & Simulation

Isuzu Motors America LLC

Plymouth, MI • On-site

$20 - $34/hr

Other

Re-posted 18 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.

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