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Intern Computer Vision Deep Learning Engineer Jobs in Ann Arbor, MI

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

The Role As an ML Engineer within the Application Engineering team, you'll lead critical ... Expert in deep learning (esp. sequential models, control, planning, or perception). * Proficient in ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

Torc Robotics

Senior, ML Engineer - VLM

Ann Arbor, MI · On-site +1

$102K - $140K/yr

Mentors and guides engineers within the group. * Bachelor's Degree in Computer Science, Robotics ... Computer Vision & Deep Learning - model training and at least two of: 2D/3D Object Detection ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

We're reimagining the minerals supply chain by combining deep industry expertise with advanced ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Comprehensive medical benefits coverage, dental plans and vision coverage. * Health care and ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. * Expertise ... Comprehensive medical benefits coverage, dental plans and vision coverage. * Health care and ...

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Ann Arbor, MI

Intern Computer Vision Deep Learning Engineer information

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How much do intern computer vision deep learning engineer jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for intern computer vision deep learning engineer in Ann Arbor, MI is $16.67, according to ZipRecruiter salary data. Most workers in this role earn between $14.09 and $18.80 per hour, depending on experience, location, and employer.

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an intern computer vision deep learning engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an intern computer vision deep learning engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an intern computer vision deep learning engineer?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
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Intern Computer Vision Deep Learning Engineer jobs near you

Computer Vision & Physical AI Integration Engineer

Lear Corporation

Southfield, MI • On-site

$96K - $129K/yr

Full-time

Posted 10 days ago

Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

102nd of 156 rated electronics manufacturers

Job description

Lear For You
We work hard for the people who work for us. We champion our teams and foster collaboration, inclusion, respect and excellence. Because we want to be more for you.
A path to a better career. A better future.
Our teams have invented groundbreaking technologies, manufactured millions of products and earned a long list of awards. Year after year, we're named one of the World's Most Admired Companies.
They're the secret to our success-empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we win together.
Are you ready for a better career? A better future?
Job Description
  • The Computer Vision & AI Integration Engineer is responsible for identifying, evaluating, and deploying advanced vision, sensing, and AI-enabled solutions across Lear's E-Systems manufacturing operations.
  • This role focuses on improving quality, productivity, traceability, and operator effectiveness through technologies such as machine vision, intelligent inspection, edge AI, industrial sensors, robotics, and automated decision support systems.
  • Working within the Digital and Automation organization, the engineer partners with manufacturing engineering, plant operations, and external technology providers to develop proof-of-concepts, validate business value, and scale successful solutions across Lear's global manufacturing network
  • Join a highly visible group shaping the future of manufacturing through computer vision, AI, and advanced automation, with regular engagement across engineering, operations, and executive leadership.
  • Be part of a fast-growing innovation organization with the autonomy to identify opportunities, lead new technology deployments, and help define Lear's global advanced manufacturing strategy

Responsibilities
  • Identify high-value use cases for computer vision, intelligent inspection, AI-enabled automation, and advanced sensing technologies
  • Define technical standards, best practices, and deployment documentation for vision and AI-enabled applications
  • Collaborate with suppliers to implement vision systems for applications including defect detection, assembly verification, process monitoring, traceability, and quality control
  • Evaluate and select cameras, lighting systems, sensors, AI platforms, robotics solutions, and system integration partners
  • Lead proof-of-concept and pilot projects from requirements definition through technical validation and deployment
  • Cooperate with automation, manufacturing engineering, IT, and digital teams to integrate solutions into existing equipment and production systems
  • Support deployment and standardization of successful solutions across multiple manufacturing plants.
  • Troubleshoot and optimize system performance in production environments
  • Monitor emerging technologies in computer vision, industrial AI, robotics, and smart manufacturing to identify new opportunities for operational improvement
  • Up to 25% travel

Education Requirements
  • Bachelor's degree in Electrical Engineering, Mechatronics, Robotics, Computer Engineering, Industrial Engineering, Computer Science, or a related field

Experience Requirements
  • 3+ years of experience in manufacturing automation, machine vision, robotics, industrial controls, or AI-enabled manufacturing solutions
  • Experience evaluating and managing automation, vision, AI, robotics, or system integration vendors.
  • Strong understanding of manufacturing automation technologies, including PLCs, HMIs, industrial networks, and production equipment integration.
  • Demonstrated success leading technical pilots, prototypes, or implementation projects from concept through deployment.
  • Ability to solve complex manufacturing challenges through structured problem-solving and technology application.
  • Strong communication and collaboration skills across engineering, operations, IT, and external partners.

Bonus If You Have:
  • Hands-on experience with computer vision, deep learning, AI-based inspection, or edge computing applications.
  • Experience in wire harness manufacturing environments.
  • Familiarity with MES, SCADA, industrial data platforms, and manufacturing system integration.

Certifications / Licenses
Equal Opportunity Employer
Lear Corporation is committed to fair, merit-based employment practices and equal opportunity.
We provide reasonable accommodations in accordance with applicable law. For assistance during the application process, contact your recruiter directly.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the country where the position is located. Unsolicited resumes from search firms, employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location Code: 0065

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