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Internship Ai Programmer Jobs in Michigan (NOW HIRING)

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Simulation Engineer

Warren, MI ยท On-site

$39/hr

... internships, or project experience. ***CANDIDATES PLEASE NOTE PRIOR TO APPLYING: THIS CLIENT ... By submitting your application, you acknowledge that recruiting technologies, including AI-assisted ...

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Internship Ai Programmer information

Is an internship AI programmer worth it?

An internship as an AI programmer provides practical experience in developing machine learning models, coding in languages like Python, and working with AI frameworks such as TensorFlow or PyTorch. It can enhance skills, build industry connections, and improve job prospects after graduation. However, the value depends on the quality of the internship and individual career goals.

What does an AI programmer intern do?

An AI Programmer Intern assists in developing, testing, and optimizing artificial intelligence algorithms and systems, often under the guidance of experienced engineers. Their tasks may include coding machine learning models, managing data sets, and helping integrate AI features into software products. This role provides hands-on experience in areas such as deep learning, natural language processing, or computer vision. Interns also collaborate with teams to solve real-world problems using AI and gain exposure to the latest technologies in the field.

What types of projects and tasks can an AI programmer intern expect to work on during their internship?

As an AI Programmer Intern, you can expect to contribute to a variety of projects, ranging from building and testing machine learning models to supporting data preprocessing and algorithm optimization. Interns often assist with coding in languages like Python or C++, analyzing datasets, and collaborating with senior engineers to integrate AI features into applications. The role typically involves regular meetings with cross-functional teams, which helps interns gain exposure to the broader development process and learn best practices in AI programming. This hands-on experience is invaluable for building technical skills and understanding real-world AI development cycles.

What are the key skills and qualifications needed to thrive as an AI programmer intern, and why are they important?

To succeed as an Internship AI Programmer, you need a solid grasp of programming languages such as Python or Java, basic knowledge of machine learning concepts, and enrollment in or completion of a related degree (e.g., computer science, data science). Familiarity with frameworks like TensorFlow or PyTorch and version control systems such as Git is highly valuable. Curiosity, problem-solving ability, and willingness to learn help interns adapt quickly and contribute effectively in fast-paced environments. These skills and qualities ensure interns can support real-world AI projects, grow their expertise, and add value to their teams.

What is the difference between Internship Ai Programmer vs Data Analyst Intern?

AspectInternship Ai ProgrammerData Analyst Intern
Required SkillsProgramming, AI/ML concepts, Python, TensorFlowData analysis, SQL, Excel, statistical skills
Work EnvironmentTech companies, AI research labs, startupsBusiness, finance, marketing departments
Industry UsageArtificial Intelligence, Machine Learning, Software DevelopmentBusiness Intelligence, Data Management, Reporting

Internship Ai Programmers focus on developing AI models and algorithms, requiring programming and machine learning skills. Data Analyst Interns analyze data sets to generate insights, emphasizing statistical and data management skills. Both roles are common in tech-driven industries but serve different functions within data and AI projects.

How to become an internship AI programmer?

To become an internship AI programmer, candidates typically need a strong foundation in computer science, programming languages such as Python or Java, and knowledge of machine learning frameworks like TensorFlow or PyTorch. Gaining relevant experience through coursework, personal projects, or coding competitions, along with a solid understanding of algorithms and data structures, can improve chances of securing an internship in this field.
What are the most commonly searched types of Ai Programmer jobs in Michigan? The most popular types of Ai Programmer jobs in Michigan are:
Infographic showing various Internship Ai Programmer job openings in Michigan as of July 2026, with employment types broken down into 21% Internship, 58% Full Time, and 21% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI โ€ข On-site

$20 - $34/hr

Other

Re-posted 14 days ago


Job description

Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern 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 advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). Works closely with Isuzu U.S. and Japan teams, well known autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. Works at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.
20%
2.
Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.
20%
3.
Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.
20%
4.
Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.
10%
5.
Prepares and communicates technical findings, experiment results, and recommended next steps 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, Artificial Intelligence/Machine Learning, or a related field
  • Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V is preferred
  • Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
  • Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical, research, and problem-solving skills
  • Proficiency in Python; familiarity with C++, Linux, Git, SQL, or data pipeline tools
  • Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent) is a plus
  • Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
  • Effective communication; ability to work independently and collaboratively across U.S. and Japan teams

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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