Computer Vision Intern/Co-op at Zeichman Mfg Inc

Pittsburgh, Pennsylvania, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Mar, 26

Salary

0.0

Posted On

11 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, Computer Vision, Image Processing, AI, Machine Learning, Camera Calibration, Object Recognition, Pose Estimation, Video Streaming, Image Segmentation, Feature Detection, GPU Acceleration, OpenCV, PyTorch, TensorFlow

Industry

Industrial Machinery Manufacturing

Description

About Us At Phlux, we are revolutionizing industrial robotics with our cutting-edge 3D safety sensors. Our technology empowers safe and efficient human-robot collaboration in dynamic environments, redefining safety across industries. As a rapidly growing startup, we embrace innovation, agility, and a passion for problem-solving. Your Role As a Computer Vision Intern/Co-op, you’ll play a hands-on role in developing and refining our computer vision systems. You’ll work on real-world challenges like camera calibration, AI-based object recognition, video streaming, or image processing. Your work will contribute directly to building safer, smarter, and more flexible robotics systems, giving you the opportunity to apply your skills to impactful, innovative projects. What You'll Do As a Computer Vision Intern/Co-op, you’ll gain hands-on experience working on challenging projects that push the boundaries of AI, computer vision, and robotics. Your responsibilities may include: Developing tools and workflows for camera calibration to improve accuracy and usability. Prototyping and testing AI-based models for human/object recognition, pose estimation, and tracking. Designing and implementing image processing pipelines for filtering, segmentation, and feature extraction. Building and optimizing real-time video streaming systems for low-latency performance. Contributing to AI/ML pipeline development, including model training, testing, and optimization. Annotating datasets and creating tools for automated data preparation and augmentation. Profiling and optimizing algorithms for edge deployment or GPU acceleration using libraries like OpenCV, PyTorch, and TensorFlow. Creating visualization tools for debugging and monitoring model performance. Documenting findings, workflows, and presenting progress to the team. What We're Looking For We’re seeking 3rd-4th year undergraduate students or Master’s students in Computer Science, Electrical/Computer Engineering, or related fields who are passionate about computer vision, AI, and robotics. Minimum Qualifications: Proficiency in Python or C++ for computer vision or image processing. Familiarity with computer vision frameworks such as OpenCV, PyTorch, or TensorFlow. Strong problem-solving skills and a willingness to learn and adapt to new challenges. Knowledge of key concepts like image segmentation, feature detection, object recognition, and machine learning. Preferred Qualifications: Experience with camera calibration, video streaming, or sensor integration. Familiarity with neural network architectures (e.g., YOLO, OpenPose, CNNs). Understanding of GPU acceleration (e.g., CUDA) or embedded systems. Experience with version control tools like Git. Previous experience in annotating datasets or working on AI/ML pipelines. What You'll Gain Hands-On Experience: Work on real-world projects that directly impact product development and robotics applications. Professional Growth: Gain exposure to cutting-edge technologies, from AI-based human recognition to real-time video processing. Mentorship: Collaborate with and learn from experienced engineers in computer vision and robotics. Career Development: Build your skills and resume with impactful projects in an innovative and fast-paced environment. Benefits Paid Internship/Co-Op with wages based on experience. Flexible Work Schedule

Responsibilities

As a Computer Vision Intern/Co-op, you will develop and refine computer vision systems, tackling challenges such as camera calibration and AI-based object recognition. Your contributions will directly impact the development of safer and smarter robotics systems.