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Online Computer Vision Jobs in Michigan (NOW HIRING)

TH Medical

Pharmacy Technician Part Time Rotate

Detroit, MI

$17.25 - $21/hr

... on-line computer keyboard and typewriter to maintain patient profile, capture charges, enter prescription data and access patient information. Visual acuity and color vision to read prescriptions ...

TH Medical

Telemetry Associate

Detroit, MI · On-site

$2.0K - $2.7K/wk

Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

TH Medical

Telemetry Associate

Detroit, MI

$2.0K - $2.7K/wk

Medical, dental, vision, and life insurance 401(k) retirement savings plan with employer match ... Operates on-line computer terminal to transcribe orders and enter/retrieve/correct patient ...

Magna

Engineer I - Software Algorithm

Auburn Hills, MI · On-site

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 ...

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Online Computer Vision information

What is an online computer vision specialist?

An Online Computer Vision specialist is a professional who designs and implements computer vision algorithms and systems that process images or videos in real-time over the internet or cloud platforms. Their work often involves developing applications for object detection, facial recognition, image classification, and video analysis that operate efficiently in online or streaming environments. These specialists need strong skills in programming, machine learning, and computer vision frameworks, and they often collaborate with data scientists and software engineers to deploy scalable solutions. Online Computer Vision is commonly used in industries such as security, healthcare, retail, and autonomous vehicles.

What is the difference between Online Computer Vision vs Computer Vision Engineer?

AspectOnline Computer VisionComputer Vision Engineer
Required CredentialsBachelor's or Master's in Computer Science, AI, or related fields; knowledge of machine learning and programmingBachelor's or Master's in Computer Science, AI, or related fields; strong programming skills in Python, C++, and experience with deep learning frameworks
Work EnvironmentRemote or online platforms, project-based tasks, often freelance or contract rolesOffice or remote, involved in developing and deploying computer vision models within teams
Employer & Industry UsageTech companies, startups, research labs focusing on AI applicationsTech firms, R&D departments, startups working on AI and image processing solutions

Online Computer Vision roles typically focus on applying computer vision techniques in online or remote settings, often involving freelance or project-based work. In contrast, Computer Vision Engineers are more involved in developing, implementing, and maintaining computer vision systems within organizations. Both roles require similar educational backgrounds but differ in work environment and scope of responsibilities.

What are some common challenges faced by professionals working in online computer vision roles?

Professionals in online computer vision often encounter challenges such as processing large volumes of visual data in real-time and ensuring high accuracy in diverse and unpredictable environments. They must also address latency and bandwidth constraints when deploying models over the internet, and regularly update algorithms to keep up with evolving data patterns. Collaboration with data engineers, software developers, and product teams is essential to integrate vision solutions into scalable systems and deliver user-centric results.

What are the key skills and qualifications needed to thrive as an online computer vision engineer?

To excel as an Online Computer Vision Engineer, you need a solid background in computer science, machine learning, and image processing, typically supported by a relevant degree. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), experience with OpenCV, and proficiency in programming languages like Python or C++ are crucial. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies enable the development of accurate, scalable computer vision solutions that drive innovation in real-time, online environments.
What are the most commonly searched types of Computer Vision jobs in Michigan? The most popular types of Computer Vision jobs in Michigan are:
What are popular job titles related to Online Computer Vision jobs in Michigan? For Online Computer Vision jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Online Computer Vision jobs in Michigan look for? The top searched job categories for Online Computer Vision jobs in Michigan are:
What cities in Michigan are hiring for Online Computer Vision jobs? Cities in Michigan with the most Online Computer Vision job openings:
Online Computer Vision jobs near you

Computer Vision Perception Engineer (Autonomous Driving)

Apolis

Detroit, MI • On-site

$110K - $129K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

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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