Senior Machine Learning Engineer, Auto Labeling @ Stack AV

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.About the Role: The Auto Labeling team at Stack develops large ML models. These models leverage state-of-the-art multi-sensor fusion techniques, integrating data from lidars, cameras, radars, and IMUs. The goal is to generate high-quality labeled data, essential for training and evaluating Stack's onboard perception models. This role offers the chance to make significant design contributions, work with extensive autonomous vehicle datasets, and collaborate with various onboard and offboard consumers of labeled data. Responsibilities: Design, evaluate, and deploy acausal large ML models for high-quality labeled data generation from multi-sensor inputs. Work with state-of-the-art techniques in large-scale distributed model training and evaluation. Collaborate with onboard and offboard downstream consumers throughout the development lifecycle, from requirements gathering to evaluation and ongoing communication. Contribute to the overarching vision of building safety-critical and robust onboard and offboard perception systems. Uphold Stack’s culture of engineering excellence. Qualifications: Degree in Computer Science, Machine Learning, Robotics, or related field Master's or PhD preferred 3+ years building ML systems Experience with distributed training systems Autonomous vehicle space experience is a plus Strong Python engineering skills, particularly PyTorch Strong experience with GPUs; CUDA experience is a plus Ability to work in a fast-paced startup environment while maintaining high-quality standards #LI-SS1We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best…

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