DeepLearningEngineerII

ABOUT US At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future. COMPANY NAME: Hayden AI Technologies, Inc. POSITION TITLE: Deep Learning Engineer II POSITION DUTIES: Lead the research, development, and deployment of state-of- the-art deep learning models for perception of urban scenes in production environments. Architect and optimize complex machine learning systems for scalability, efficiency, and robustness, utilizing cloud-native technologies. Develop and implement training techniques such as data augmentation or model distillation pipelines to improve model robustness under diverse urban and environmental conditions. Explore and integrate novel multi-modal foundational AI models, including large Vision- Language Models (VLMs), and develop strategies for their effective fine- tuning and adaptation to specific domain challenges. Drive innovation in model compression, quantization, and efficient inference techniques to optimize performance for both cloud and edge device deployments. Collaborate with cross-functional teams to define machine learning roadmaps, evaluate new technologies, and contribute to the overall technical strategy. Conduct research, and evaluate emerging deep learning techniques applicable to perception and intelligent mobility. DEGREE REQUIREMENTS: Master of Science or Engineering degree or the foreign equivalent in Robotics, Machine Learning, Computer Science, Electrical Engineering, Electrical Engineering and Computer Sciences or related. EXPERIENCE REQUIREMENT: Two (2) years of experience in the position offered, as a Perception Engineer (Deep Learning), Graduate Researcher, Computer Vision