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Internship Machine Learning Engineer Jobs in Ann Arbor, MI

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the following skills and experience. Essential * Extensive and proven track record of shipping deep ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

Varsity Tutors

Machine Learning Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

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All JobsMachine Learning Engineer JobsInternship Machine Learning Engineer JobsInternship Machine Learning Engineer Jobs in Ann Arbor, MI

Internship Machine Learning Engineer information

See Ann Arbor, MI salary details

$24.9K

$41.7K

$86.1K

How much do internship machine learning engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship machine learning engineer 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.

What does an internship machine learning engineer do?

An Internship Machine Learning Engineer works alongside experienced engineers to help develop, test, and deploy machine learning models. Their responsibilities may include cleaning and preparing data, writing code for model training, evaluating model performance, and contributing to research tasks. Interns often learn to use popular frameworks such as TensorFlow or PyTorch and gain hands-on experience with real-world datasets. This role is designed to help students or recent graduates apply their academic knowledge to practical problems while developing industry-relevant skills.

What types of projects and responsibilities can I expect as an internship machine learning engineer?

As an Internship Machine Learning Engineer, you will typically support the development, testing, and deployment of machine learning models under the guidance of senior engineers. Your responsibilities may include data preprocessing, exploratory data analysis, implementing algorithms, and evaluating model performance. You'll often collaborate closely with data scientists, software engineers, and product managers, gaining exposure to real-world workflows and tools. This hands-on experience is invaluable for building technical skills and understanding how machine learning solutions are integrated into larger products.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer, and why are they important?

To excel as an Internship Machine Learning Engineer, you typically need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, often supported by coursework or relevant project experience. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is common, along with proficiency in data processing libraries. Curiosity, strong problem-solving abilities, and effective teamwork and communication skills help set candidates apart. These competencies ensure you can contribute meaningfully to projects, adapt to new challenges, and collaborate productively in a rapidly evolving technical environment.

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

AspectInternship Machine Learning EngineerData Scientist Intern
Required CredentialsBasic programming, introductory ML knowledgeStatistics, data analysis, programming
Work EnvironmentDeveloping ML models, coding, testingData analysis, visualization, reporting
Employer & Industry UsageTech companies, startups, AI firmsTech, finance, healthcare, consulting

Internship Machine Learning Engineers focus on developing and testing machine learning models, often requiring programming and basic ML knowledge. Data Scientist Interns analyze data, create visualizations, and generate insights. Both roles are common in tech and data-driven industries, but ML Engineer internships emphasize model deployment, while Data Science internships focus on data analysis and reporting.

What are the most commonly searched types of Machine Learning Engineer jobs in Ann Arbor, MI?

The most popular types of Machine Learning Engineer jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Internship Machine Learning Engineer jobs?

Cities near Ann Arbor, MI with the most Internship Machine Learning Engineer job openings:

Internship Machine Learning Engineer jobs near you

Perception Machine Learning Engineer - ADAS

Lucid Motors

Southfield, MI

Full-time

Posted 14 days ago

Lucid Motors rating

7.4

Company rating: 7.4 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

19th of 44 rated automakers

Job description

Role and Responsibilities 

  • Develop and optimize perception algorithms for autonomous driving systems using camera and LiDAR data. 
  • Design and implement cutting-edge deep learning algorithms for 2D/3D object detection, segmentation, tracking, and multi-task learning. 
  • Research and integrate BEV-based transformer models for perception tasks. 
  • Collaborate with cross-functional teams to ensure seamless integration and robust implementation. 
  • Test, release, and deploy perception algorithms into Lucid production programs. 
  • Support validation and verification of perception algorithms using prototype and pre-production vehicles. 
  • Propose innovative software algorithms to enhance future autonomous driving capabilities. 

Required Qualifications 

  • Strong theoretical foundations and expertise in deep learning algorithms, including object detection, tracking, and segmentation. 
  • Proficient in Python with a focus on clean, efficient, and scalable software development. 
  • Comfortable working with large codebases and debugging complex machine learning models. 
  • Experience with PyTorch or other ML frameworks (e.g., TensorFlow, MXNet). 
  • Ability to design and construct evaluation pipelines to unit-test ML models under diverse conditions and environments. 
  • Excellent communication skills and a strong team player. 
  • Bachelor's degree in Computer Engineering, Electrical Engineering, Automotive Engineering, Mechanical Engineering, or a related field. 
  • Minimum of 3 years of relevant work experience, or a Ph.D. in a related field for a senior position. 
  • Advanced degrees are preferred. 
  • Experience in Automotive/Autonomous Driving background

Preferred Qualifications 

  • Experience developing BEV transformer models for perception. 
  • Proficiency in C++ with experience writing efficient, maintainable code. 
  • Practical, hands-on approach to solving complex problems in autonomous driving. 
  • Experience in testing and validating perception systems in real-world conditions. 
  • Experience working in agile development teams. 
  • Expertise in component and system integration, testing, and verification at the system and vehicle levels. 
 
 
 
 
 
 
 
 
 
At Lucid, we don't just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations.

What Lucid Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Lucid Motors logo

About Lucid Motors

Sourced by ZipRecruiter

Lucid Motors is a highly innovative electric vehicle manufacturer located in Newark, CA, USA. Primarily engaged in the automotive industry, its mission is to elevate electric vehicles' standing and transform the way people travel. The company was founded in 2007 by Bernard Tse and Sam Weng as Atieva, a name under which it initially focused on battery technology. However, it pivoted towards automotive manufacturing and rebranded as Lucid Motors in 2016. The company is committed to making luxury, sustainable electric vehicles that break norms and set new standards with top-notch technology and engineering. Their mission aligns with their core values, which are centered around innovation, sustainability, and excellence. Notably, Lucid Motors launched the Lucid Air in 2020, an all-electric sedan well-received for its advanced features and impressive mileage.

Industry

Manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2007

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