Director Machine Learning
Motional- Full Time
- Expert & Leadership (9+ years)
Candidates must hold a Ph.D. or Master's in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field. At least 2 years of experience in leading teams focused on developing real-world computer vision and perception systems using deep learning on edge devices is required. Expertise in deep learning frameworks such as PyTorch or TensorFlow is mandatory, along with proficiency in OpenCV and deployment optimization tools like TensorRT. Strong Python programming skills and experience with data science and traditional machine learning techniques are essential, and familiarity with automated machine learning pipelines is desirable.
The Engineering Manager will oversee the entire perception system development life cycle, from problem definition to deployment and ongoing improvement. They will lead a team of computer vision and perception engineers, develop robust computer vision algorithms, and champion the training of deep learning models for urban scene perception. The role involves collaborating with cross-functional teams for seamless integration, analyzing data to identify performance bottlenecks, fostering automation in deep learning model improvement cycles, and effectively communicating technical findings to stakeholders.
Autonomous traffic management platform using AI
Hayden AI has created an autonomous traffic management platform that uses artificial intelligence to turn vehicles into mobile street sensors, collecting real-time data to improve urban mobility. This data helps transit agencies enforce dedicated bus lanes, enhancing rider safety and making public transportation more efficient. Unlike competitors, Hayden AI combines mobile sensors with citizen-driven data for a comprehensive view of traffic conditions. The company's goal is to make cities safer and more efficient through its patented technology.