Machine Learning Engineer

Responsibilities

• Develop and deploy machine learning models for computer vision and object recognition tasks
• Optimize models for real-time performance on embedded and edge computing platforms
• Build and maintain perception pipelines that integrate data from cameras and other sensors
• Evaluate and implement state-of-the-art techniques in deep learning, object detection, and visual tracking
• Design and execute experiments, including simulation and real-world field testing
• Maintain and improve datasets, pipelines, and tools to support efficient model training and deployment
• Collaborate with cross-functional teams to deliver production-ready solutions

Requirements

• Bachelor's degree or higher in computer science, electrical engineering, robotics, or a related field
• 5+ years of experience developing and deploying machine learning models for computer vision or perception
• Proficiency in Python and deep learning frameworks such as PyTorch and/or JAX
• Familiarity with classical computer vision techniques like OpenCV
• Understanding of software development best practices, coding standards, and test automation

Preferred Qualifications

• Experience with robotics, autonomous systems, or real-time perception applications
• Knowledge of MLOps practices including model versioning and CI/CD for ML
• Experience with camera geometry, 3D reconstruction, or GPU programming such as CUDA or Triton