Machine Learning Engineer Intern - Computer Vision Focused
Accurate Systems Engineering · Phoenix, US
Job description
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
ML/AI Work links you to the employer's original posting — always verify the details there before applying.
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