Staff ML Engineer, Dynamic World Perception

Description: Stack is developing AI and autonomous systems to enhance safety and efficiency in the trucking industry. The role involves leading the Dynamic World Perception team in real-time detection of road actors and properties, focusing on long-range detection capabilities. Requirements: Extensive experience in architecting, training, and deploying deep learning models in real-world environments. Proven track record in applied research projects from conception to productization, with experience in detection, segmentation, and tracking solutions for real-time robotic applications. Strong software engineering skills, fluency in Python, and experience with C++. Benefits: Opportunity to work in a diverse and inclusive environment that values innovation and entrepreneurship. Involvement in cutting-edge technology development in the autonomous systems field.