Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Candidates must possess a Ph.D. or Master's degree in Machine Learning, Computer Science, Robotics, Electrical Engineering, or a related field, with over 10 years of experience in machine learning, deep learning, and computer vision, specifically in image classification, object tracking, semantic segmentation, and urban scene understanding. Proficiency in Python, PyTorch or TensorFlow, and OpenCV is essential, along with demonstrated experience in deploying deep learning systems in production, cloud-based deployments (AWS, GCP, Azure), and containerization technologies like Docker and Kubernetes. Experience with foundational models for computer vision and traditional machine learning algorithms is also required.
The Staff Machine Learning Engineer will define and lead projects throughout the entire ML system development lifecycle, from problem definition to production deployment and continuous improvement. This role involves guiding cross-functional teams, developing and refining production machine learning models with clean code, and designing/training deep learning models for urban scene perception tasks such as classification, object detection, tracking, and semantic segmentation. Responsibilities include collaborating with cross-functional teams for seamless integration, designing automated pipelines for model training and evaluation, analyzing data to identify performance bottlenecks, and 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.