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Freelance Computer Vision Deep Learning Engineer Jobs in Michigan

Eccalon LLC

AI Expert Robotics - onsite

Detroit, MI

Collaborate with mechanical, electrical, and software engineering teams to ensure end-to-end system ... Experience with computer vision, deep learning, or reinforcement learning * Familiarity with ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Tata Consultancy Services

Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Eccalon LLC

Machine Learning Engineer

Detroit, MI

Required Qualifications * BS. in Computer Science, or related field. * 3+ years of professional ... Mastery of Deep Learning fundamentals and statistics underlying Machine Learning. * History of ...

Magna

R&D- Computer Vision Engineering Intern

Troy, MI

$16 - $20.50/hr

Familiarity with Deep Learning (TensorFlow or PyTorch) required Familiarity with cloud platforms ... Experience in computer vision tasks like image classification, object detection, or semantic ...

FastTek

Machine Learning Engineer

Dearborn, MI

$105K - $126K/yr

... computer vision, perception, localization, natural language processing, and conversational AI ... deep learning methods, alongside prompt engineering, retrieval-augmented generation (RAG), and ...

Magna

R&D- Computer Vision Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

... Deep Learning (TensorFlow or PyTorch) required • Familiarity with cloud platforms preferred. • Experience with software development process preferred. • Experience in computer vision tasks like ...

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Infographic showing various Freelance Computer Vision Deep Learning Engineer job openings in Michigan as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution.

Computer Vision Perception Engineer (Autonomous Driving)

Apolis

Detroit, MI • On-site

$110K - $129K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Apolis is seeking a Computer Vision Perception Engineer specializing in Autonomous Driving. The role involves designing and implementing computer vision algorithms for object detection and segmentation using camera and LiDAR data, as well as developing deep learning models for 2D and 3D object detection.
Responsibilities:
• Design and implement computer vision algorithms for object detection and segmentation using camera and LiDAR data fusion.
• Develop deep learning models for 2D and 3D object detection, including implementation and optimization of YOLO, Faster R-CNN, SSD, and transformer-based architectures.
• Create and optimize LiDAR point cloud processing pipelines using PCL and Open3D for 3D object detection and segmentation.
• Implement sensor fusion techniques to combine camera and LiDAR data for enhanced object detection accuracy.
• Develop instance and semantic segmentation algorithms using state-of-the-art models like Mask R-CNN, U-Net, and DeepLab.
• Implement and optimize deep learning models specifically designed for LiDAR point clouds, including PointNet, PointNet++, and other 3D neural network architectures.
• Develop robust perception algorithms that maintain performance in adverse weather conditions such as rain, snow, fog, and low-light scenarios.
• Build and maintain computer vision pipelines using OpenCV for image preprocessing, feature extraction, and geometric transformations.
• Design and implement multi-object tracking systems using Kalman filtering, SORT, and DeepSORT algorithms.
• Work with ROS2 for integration and deployment of perception algorithms.
• Optimize deep learning models for edge deployment and real-time inference performance.
• Develop robust evaluation metrics and testing frameworks for object detection systems.
• Collaborate with cross-functional teams to integrate perception algorithms into larger autonomous systems.
• Stay up-to-date with industry trends and emerging technologies to innovate and improve perception systems.
Qualifications:
Required:
• Strong expertise in computer vision and deep learning for object detection and segmentation tasks.
• Proficiency in deep learning frameworks (PyTorch and TensorFlow) with hands-on experience implementing detection models (YOLO, Faster R-CNN, SSD, RetinaNet, Detectron, etc.).
• Extensive experience with OpenCV for image processing and computer vision applications.
• Solid background in 3D perception using LiDAR point clouds; proficiency with PCL and Open3D libraries.
• Familiarity with LiDAR-specific deep learning models such as PointNet, PointNet++, VoxelNet, and other point cloud neural network architectures.
• Experience in developing and improving perception models for adverse weather conditions (rain, snow, fog) including domain adaptation and robust feature extraction techniques.
• Experience with sensor fusion techniques for combining camera and LiDAR data streams.
• Strong programming skills in Python and C++ for algorithm development and optimization.
• Experience with model optimization techniques for real-time inference.
• Familiarity with 3D geometry, coordinate transformations, and spatial data processing.
• Knowledge of evaluation metrics for object detection and tracking systems (mAP, IoU, custom metrics, etc.).
Company:
Apolis is a IT consultancy that offers provides ERP solutions, hosting, assessment, web and mobile, IT staffing and IT workforce solutions. Founded in 1996, the company is headquartered in El Segundo, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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