Senior Machine Learning Engineer, Auto Labeling

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 include designing, evaluating, and deploying acausal large ML models for high-quality labeled data generation from multi-sensor inputs, working with state-of-the-art techniques in large-scale distributed model training and evaluation and contributing to the vision of building safety-critical perception systems.