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

KLA Corporation

Software Engineering Intern

Ann Arbor, MI · On-site

$32 - $45/hr

Work with traditional machine learning and deep learning techniques to meet and improve results on ... vision, life, and other voluntary benefits, 401(K) including company matching, employee stock ...

Varsity Tutors

Machine Learning Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection, cross-validation, regularization, ensemble methods, dimensionality reduction, clustering, and deep ...

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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

See Ann Arbor, MI salary details

$8

$16

$23

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

As of Aug 12, 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

ADAS Software Engineering Intern

Bosch Group

Plymouth, MI

Internship

Medical, Life, Retirement, PTO

Posted 13 days ago

Job description

Company Description

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark 
enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding 
Bosch teams around the world. Their creativity is the key to innovation through connected living, 
mobility, or industry. 

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch

  • Reinvent yourself: At Bosch, you will evolve. 
  • Discover new directions: At Bosch, you will find your place. 
  • Balance your life: At Bosch, your job matches your lifestyle. 
  • Celebrate success: At Bosch, we celebrate you. 
  • Be yourself: At Bosch, we value values. 
  • Shape tomorrow: At Bosch, you change lives.
Job Description

As an ADAS Software Engineering Intern, you will work with our ADAS software team to develop a Proof of Concept (PoC) that supports the testing and demonstration of existing and new ADAS features.

This role offers hands-on experience in building visualization and validation frameworks used for showcasing ADAS functionality. You will collaborate with a highly cooperative team while also contributing independently to technical development tasks.

This position requires in-person presence, as the work involves direct interaction with development vehicles, including software build, flashing, and in-vehicle testing.

Key Responsibilities:

  • Develop a PoC to test and demonstrate ADAS features
  • Work with ADAS teams to understand feature requirements and integration needs
  • Support development of visualization or simulation capabilities for ADAS features
  • Modify and enhance existing C++ and Python code
  • Assist in building, flashing, and deploying software to test vehicles
  • Perform hands-on testing and validation of ADAS functionality in vehicles
  • Document development work, design decisions, and usage instructions
Qualifications

Required Qualifications:

  • Minimum cumulative GPA of 3.0
  • Currently enrolled in an accredited university pursuing a Bachelor’s or Master's degree in Computer Engineering or Electrical Engineering or related field (minimum 5 semesters completed)
  • Must be at least 18 years of age
  • Strong communication and teamwork skills
  • Ability to work both independently and within a collaborative environment
  • Ability to understand and modify C++ and Python code
  • Willingness to work on-site and support in-vehicle development and testing activities

Preferred Qualifications:

  • Knowledge of graphics rendering concepts (e.g., OpenGL, Godot, or similar frameworks)
  • Exposure to computer vision and/or machine learning concepts

Additional Information

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable. Equal Opportunity Employer, including disability / veterans 

*Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. 

Your well-being matters at Bosch! We offer a competitive compensation and a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. We're investing in your success!