Senior Software Engineer, Auto Labelling

You will... - Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning. - Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system. - Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks. - Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications: - Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study. - 3+ years of experience developing solutions in ML systems or the ML software stack. - Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads. - Experience with the end-to-end productionization of deep learning models, particularly large-scale o