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Intern Computer Vision Deep Learning Engineer Jobs in Detroit, MI

VDart, Inc.

Perception Engineer

Detroit, MI

Solid background in computer vision techniques; experience with OpenCV and object detection models ... Experience with deep learning frameworks (TensorFlow or PyTorch) for object detection and tracking ...

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 ...

Stellantis

Data & AI SCIENTIST

Auburn Hills, MI · On-site

... Computer Vision is appreciated * Palantir Foundry platform * Microsoft PowerBI / Fabrics tool (incl. DAX programming language) * Deep learning frameworks (Pytorch, Tensorflow, ...) * Ability to ...

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

As of May 30, 2026, the average hourly pay for intern computer vision deep learning engineer in Detroit, MI is $16.87, according to ZipRecruiter salary data. Most workers in this role earn between $14.28 and $19.04 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

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.

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 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.

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Intern Computer Vision Deep Learning Engineer jobs near you

Manager - Deep Learning and Driving Behavior Modeling

Astemo Ltd

Farmington Hills, MI • On-site

Full-time

Posted 8 days ago

Job description

Company Name:
ASTEMO AMERICAS, INC.
Job Family:
Engineering
Job Description:
Summary:
Astemo Americas, Inc. is looking for M.Sc./Ph.D. degree holders in Mechanical/Electrical/Computer Science/Robotics or related engineering field to join our Advanced Technology Development Department as a Manager to contribute for the development of advanced deep learning techniques for driving behavior modeling to bring new values in the areas of Advanced Driver Assistance Systems (ADAS) and Automated Driving (AD). The position will require sound knowledge on image processing, Generative AI, Vision Language Model, sensors, and algorithms used in AD/ADAS. The position requires the manager to develop and lead an advanced AI team, plan and execute advanced development projects, manage resources and budget, etc. together with good communication and written skills.
Job Duties:
  • The candidate will work in close collaboration with teams in Japan and other departments in the USA
  • Ideate new concepts, create plan and execute strategies, make test and validation scenarios, design experimental and analytical processes to bring new values in ADAS and automated driving systems
  • The candidate should have the ability to perform complex system analysis with a high level of analytical ability
  • The candidate should have the ability to troubleshoot complex issues in a timely and effective manner
  • Publish technical papers, patents, and present Astemo's innovative technologies at conferences and seminars.

Qualifications:
  • Knowledge of Automated Driving (AD) System is required
  • Experience in developing large foundation models/vision language models is preferred
  • Experience in developing end-to-end architecture for AD/robotics is preferred
  • Strong programming skills in C++ and/or Python are required
  • Proficiency with deep learning frameworks is required
  • Experience with AD/Advanced Driver Assistance Systems (ADAS)/autonomous robotics systems development using multi sensor fusion and embedded system is a plus
  • Knowledge of cloud computing is a plus
  • Experience in Human Machine Interface system development is a plus
  • Ability to work independently with minimal direction is required

Education: MSc degree in mechanical/electrical/computer science/Robotics or in a related engineering field. PhD is preferred
Experience: Minimum of 6+ years of relevant industrial experience is required
Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.
Supervisory Responsibilities: Leading, building and mentoring the efforts of engineers who are responsible for sub-project activities.
Working conditions:
Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.
Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.
At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.
If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

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