Machine Learning Engineer Intern - Computer Vision Focused

*Machine Learning Engineer Intern – Computer Vision* *Company:* AcSYS Engineering *Location:* Gilbert, Arizona *Work Arrangement:* On-site *Employment Type:* Internship Depending on performance and business needs, the intern can be considered for a full-time Jr. ML Engineer position after several months. *About the Role* AcSYS Engineering is seeking a *Machine Learning Engineer Intern* to support computer vision, robotics, and industrial automation projects. You will work alongside ML, software, robotics, and controls engineers on real-world applications involving industrial cameras, robots, sensors, GPUs, and manufacturing equipment. *Responsibilities* * Prepare, clean, label, and validate image datasets. * Help Jr. and lead ML engineers train and evaluate computer vision models for classification, detection, segmentation, and anomaly detection. * Build Python tools for training, testing, and inference. * Analyze model performance and failure cases. * Assist with integrating ML models with cameras, robots, PLCs, APIs, and edge devices. * Test models on NVIDIA GPUs and Jetson devices. * Use Git, Docker, Linux, and common ML development tools. *Qualifications* * Currently pursuing or recently completed a degree in Computer Science, AI, ML, Robotics, Engineering, or a related field. * Basic Python programming experience. * Familiarity with PyTorch, OpenCV, scikit-learn, TensorFlow, or similar tools. * Interest in computer vision, robotics, and industrial automation. * Ability to work on-site in Gilbert, Arizona. *Preferred* * Personal, academic, or research projects involving computer vision or machine learning. * Experience with PyTorch, OpenCV, YOLO, RF-DETR, or similar models. * Familiarity with Git, Linux, Docker, SQL, ROS/ROS 2, NVIDIA Jetson, ONNX, or TensorRT. * GitHub profile or technical portfolio demonstrating relevant projects. *What You’ll Learn* * Building real-world computer vision datasets. * Training and evaluating production-oriented ML models. * Deploying models on GPUs and edge devices. * Integrating AI with cameras, robots, sensors, and industrial equipment. * Testing ML systems under real manufacturing conditions. Previous professional ML experience is not required. *Work Location:* In person Pay: $17.00 per hour Benefits: * 401(k) * 401(k) matching * Dental insurance * Flexible schedule * Health insurance * Life insurance * Paid time off * Professional development assistance * Vision insurance Application Question(s): * Do you have experience working with Python? * Do you have experience working with Computer Vision methods? Work Location: In person