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

May Mobility

Lead Machine Learning Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Vision Language Action Models, Generative World Models, Foundation Models in Robotics, Data Centric ... or Computer Engineering, or a field that requires a strong mathematical and/or engineering ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Driving the technical vision and multi-year strategy for World Understanding (including perception ... Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar * Deep ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Driving the technical vision and multi-year strategy for World Understanding (including perception ... Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar * Deep ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Driving the technical vision and multi-year strategy for World Understanding (including perception ... Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar * Deep ...

Woven by Toyota

Lead Perception Engineer

Ann Arbor, MI · On-site

$100K - $132K/yr

Driving the technical vision and multi-year strategy for World Understanding (including perception ... Machine Learning, Mechanical, Electrical, Computer, Aerospace Engineering, or similar * Deep ...

Bespoke Labs

Machine Learning Engineer

Ann Arbor, MI · On-site

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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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

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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

Perception Machine Learning Engineer - ADAS

Lucid Motors

Southfield, MI • On-site

Full-time

Posted 6 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. 

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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