Freelance Computer Vision Deep Learning Engineer Jobs in Michigan

Description
Note: GlobalLogic estimates the starting pay range for this role to be performed onsite in Detroit, MI is 110,000 - 120,000 and reflects base salary only. This pay range is provided as a good faith estimate and the amount offered may be higher or lower. GlobalLogic takes many factors into consideration in making an offer, including candidate qualifications, work experience, operational needs, travel and onsite requirements, internal peer equity, prevailing wage, responsibilities, and other market and business considerations.
Requirements
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.).
Job 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.
What we offer
Culture of caring. At GlobalLogic, we prioritize a culture of caring. Across every region and department, at every level, we consistently put people first. From day one, you'll experience an inclusive culture of acceptance and belonging, where you'll have the chance to build meaningful connections with collaborative teammates, supportive managers, and compassionate leaders.
Learning and development. We are committed to your continuous learning and development. You'll learn and grow daily in an environment with many opportunities to try new things, sharpen your skills, and advance your career at GlobalLogic. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
Interesting & meaningful work. GlobalLogic is known for engineering impact for and with clients around the world. As part of our team, you'll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what's possible and bring new solutions to market. In the process, you'll have the privilege of working on some of the most cutting-edge and impactful solutions shaping the world today.
Balance and flexibility. We believe in the importance of balance and flexibility. With many functional career areas, roles, and work arrangements, you can explore ways of achieving the perfect balance between your work and life. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
High-trust organization. We are a high-trust organization where integrity is key. By joining GlobalLogic, you're placing your trust in a safe, reliable, and ethical global company. Integrity and trust are a cornerstone of our value proposition to our employees and clients. You will find truthfulness, candor, and integrity in everything we do.
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.