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Machine Learning Intern Jobs in Warren, MI (NOW HIRING)

CAE Engineering Intern - Fall 2026

Livonia, MI

$15.75 - $20.25/hr

The CAE Intern is a broad role that offers you the opportunity to work on a variety of engineering ... Knowledge of machine learning / artificial intelligence applications in engineering * Experience ...

Emerge Intern

Royal Oak, MI

$14 - $18.75/hr

OverviewAs an Emerge Intern, you'll have the opportunity to contribute to real projects that impact ... learning new platforms. · Be detail-oriented, especially when handling data entry and employer ...

Intern

Detroit, MI · On-site

$14.75 - $19.75/hr

Intern (Department Assigned Based on Interest and Organizational Need) Location: Detroit, MI ... Complete projects aligned with academic learning objectives. * Collaborate professionally with ...

Intern

Detroit, MI · On-site

$13.50 - $18/hr

Intern (Department Assigned Based on Interest and Organizational Need) Location: Detroit, MI ... Complete projects aligned with academic learning objectives. * Collaborate professionally with ...

INTERN

Macomb, MI · On-site

$14 - $18.50/hr

Depending upon your course of study, we may be able to provide an internship meeting learning ... Seeking a motivated and detailoriented Intern to support our team with daytoday tasks, projects ...

INTERN

Macomb, MI · On-site

$14 - $18.50/hr

Depending upon your course of study, we may be able to provide an internship meeting learning ... Seeking a motivated and detail-oriented Intern to support our team with day-to-day tasks, projects ...

Intern - Spring 2027 (Detroit)

Detroit, MI · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities: Depending on business need and location, the Intern/Co-Op ...

Intern - Fall 2026 (Detroit)

Detroit, MI · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern - Summer 2027 (Detroit)

Detroit, MI · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Intern - Spring 2027 (Detroit)

Detroit, MI · On-site

$14.75 - $19.75/hr

Where applicable, your assignment will support learning that applies to earning educational credits. Essential Duties & Key Responsibilities:Depending on business need and location, the Intern/Co-Op ...

Showing results 21-40

Machine Learning Intern information

See Warren, MI salary details

$23.9K

$40K

$82.7K

How much do machine learning intern jobs pay per year?

As of Aug 10, 2026, the average yearly pay for machine learning intern in Warren, MI is $39,996.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a machine learning intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

What is the difference between Machine Learning Intern vs Data Science Intern?

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do machine learning interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What does a machine learning intern do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

What are the most commonly searched types of Machine Learning jobs in Warren, MI? The most popular types of Machine Learning jobs in Warren, MI are:
What job categories do people searching Machine Learning Intern jobs in Warren, MI look for? The top searched job categories for Machine Learning Intern jobs in Warren, MI are:
What cities near Warren, MI are hiring for Machine Learning Intern jobs? Cities near Warren, MI with the most Machine Learning Intern job openings:
Infographic showing various Machine Learning Intern job openings in Warren, MI as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $39,996 per year, or $19.2 per hour.

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI • On-site

$20 - $34/hr

Other

Re-posted 15 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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