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Machine Learning Object Detection Jobs in Royal Oak, MI

... machine learning technologies, especially for industrial applications like defect detection, 3D ... Experience in computer vision tasks like image classification, object detection, or semantic ...

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

... machine learning technologies, especially for industrial applications like defect detection, 3D ... classification, object detection, or semantic segmentation, 3D reconstruction is a plus. • ...

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Experience implementing and applying dynamic object tracking, with experience using sensor fusion ...

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... Experience implementing and applying dynamic object tracking, with experience using sensor fusion ...

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East ... Build quality gates for training and deployment pipelines (e.g., regression checks, drift detection)

Build and deploy Remaining Useful Life (RUL) models using machine learning and physics-based ... Develop fault detection and anomaly detection algorithms for real-time vehicle monitoring. * Apply ...

Developing and applying analytics, machine learning, and data science techniques to cyber use cases across security operations, threat detection, and incident response * Working with technologies ...

Utilize data analysis and object-oriented programming to create user interfaces, dashboards, and advanced analytical models, while leveraging technologies like Machine Learning and AI to enhance data ...

Showing results 21-40

Machine Learning Object Detection information

See Royal Oak, MI salary details

$29.4K

$120.3K

$180.8K

How much do machine learning object detection jobs pay per year?

As of Aug 7, 2026, the average yearly pay for machine learning object detection in Royal Oak, MI is $120,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,800.00 and $144,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a machine learning object detection engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.

Senior Robotic AI-Perception Engineer - Only W2

Saransh Inc

Warren, MI • On-site

$98K - $134K/yr

Contractor

Re-posted 29 days ago


Job description

Role: Senior Robotic AI-Perception Engineer
Location: Warren, MI (Onsite from Day 1)
Job Type: W2 Contract
 
Main Skills: Senior Robotic AI-Perception Engineer (AI/ML, perception, computer vision, Python, TensorFlow and/or PyTorch)
 
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.