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Contractual Computer Vision Engineer Jobs in Detroit, MI

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

JOB SUMMARY The Computer Vision Algorithm Engineer role focused on ADAS perception that turns camera video feeds (image frames) into a clear understanding of the vehicle's surroundings. The work ...

You will also contribute to computer-vision and edge-to-cloud solutions such as in-plant monitoring systems, where reliable software connects cameras, plant infrastructure, machine-learning ...

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Designing, developing, and optimizing innovative image processing and computer vision algorithms ...

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Contractual Computer Vision Engineer information

See Detroit, MI salary details

$48K

$120.3K

$136.1K

How much do contractual computer vision engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for contractual computer vision engineer in Detroit, MI is $120,296.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,400.00 and $130,200.00 per year, depending on experience, location, and employer.

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

AspectContractual Computer Vision EngineerContractual Machine Learning Engineer
Required CredentialsBachelor's or Master's in Computer Science, Engineering, or related field; experience in computer vision frameworksBachelor's or Master's in Computer Science, Data Science, or related; strong programming and ML knowledge
Work EnvironmentProject-based, often in tech, automotive, or healthcare industriesSimilar industries, focusing on developing ML models across various applications
Employer & Industry UsageTech companies, research labs, startups focusing on image/video analysisTech firms, startups, research institutions applying ML across domains

Contractual Computer Vision Engineers specialize in developing algorithms for image and video analysis, while Contractual Machine Learning Engineers focus on building broader ML models. Both roles often share similar credentials and work environments, but their core focus areas differ, with computer vision emphasizing visual data processing.

What are the most commonly searched types of Computer Vision Engineer jobs in Detroit, MI?

The most popular types of Computer Vision Engineer jobs in Detroit, MI are:

What are popular job titles related to Contractual Computer Vision Engineer jobs in Detroit, MI?

For Contractual Computer Vision Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Contractual Computer Vision Engineer jobs in Detroit, MI look for?

The top searched job categories for Contractual Computer Vision Engineer jobs in Detroit, MI are:

Infographic showing various Contractual Computer Vision Engineer job openings in Detroit, MI as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 17% Part Time, and 6% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $120,296 per year, or $57.8 per hour.

Robotics Engineer, Perception/Computer Vision

Warren, MI • On-site

Contractor

Re-posted 16 days ago


Job description

Position: Senior Robotics Engineer, Perception/Computer Vision

Location: Warren, Michigan

Duration: 12+Months with possible extensions

Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)

About the Role:

We are seeking a Senior Robotics Engineer, Perception/Computer Vision to join our Advanced Development team within the Autonomous Robotics Center (ARC). In this role, you will develop perception features that enable robots with advanced capabilities such as object detection, obstacle avoidance, path optimization, and manipulation. This position combines artificial intelligence and computer vision techniques applied to real-world scenarios in dynamic manufacturing environments.

At ARC, we leverage advanced robotics, machine learning, and artificial intelligence to solve complex manufacturing challenges at unprecedented scale. Joining our organization provides the opportunity to work on cutting-edge technologies, contribute to innovation, and collaborate with a diverse team of experts. You will play a key role in advancing our automation capabilities and ensuring our robotic systems remain at the forefront of the industry.

Key Responsibilities:

  • Design, develop, and implement perception algorithms for segmentation, scene understanding, object detection and localization, classification, and dynamic tracking.
  • Integrate AI and computer vision algorithms with ROS (Robot Operating System) for real-time deployment on autonomous robots (e.g., mobile manipulators).
  • Design and maintain cloud-based pipelines for data collection, annotation, preprocessing, model training, and evaluation.
  • Collaborate with hardware engineers, software engineers, and domain experts to integrate with mapping, motion planning, and controls.
  • Develop offline tools to test and validate perception models in both simulation and real-world environments.
  • Stay updated with emerging technologies and best practices in robotic perception; lead and participate in academic and industrial collaborations.
  • Generate intellectual property, document results, and publish papers.

Required Qualifications:

  • Passion for robotics and a strong desire to accelerate the application of robotics with AI.
  • Master’s or Ph.D. in Computer Science, Electrical Engineering, Robotics, or a related field (or Bachelor’s degree with exceptional track record).
  • 3+ years of experience developing and deploying AI/ML, perception, and computer vision (e.g., mono and stereo cameras, RGB-D, event camera, LiDAR) on robotic systems.
  • Proficiency in Python or C++ with hands-on experience in deep learning frameworks such as TensorFlow and PyTorch.
  • Solid understanding of robotics fundamentals, perception and navigation methods (e.g., SLAM, planning), and their typical strengths and shortcomings.
  • Consistently seeks opportunities and embraces challenges to drive self-growth and improvement.

Preferred Qualifications:

  • Ph.D. in Computer Science, Machine Learning, Robotics, Computer Vision, or a related research field.
  • Hands-on robotics experience, such as autonomous vehicles (AV), ADAS, or industrial automation systems in manufacturing environments.
  • Experience with robotics frameworks such as ROS/ROS2 (e.g., Nav2, MoveIt).
  • Understanding of CI/CD pipelines and modern software development practices.