machine learning engineer for autonomous driving

Описание:Rivian develops emissions-free Electric Adventure Vehicles and advanced machine learning algorithms for safety-critical self-driving features.Задачи:Guide the architecture, implementation, and deployment of foundation models that act as learned world modelsDevelop technical strategy and architecture for foundation models as unified world modelsDevelop multi-modal, multi-task transformer-based systems that support closed-loop autonomyBuild training and evaluation pipelines at scale across petabytes of real-world and simulated driving dataCollaborate with cross-functional teams across perception, planning, simulation, and ML infrastructureDrive alignment between model capabilities and real-world deployment constraints, including latency, robustness, and validationPublish internal technical guidance and mentor engineers across autonomy MLТребования:B.S., M.S., or Ph.D. in Computer Science, Robotics, or a related field7+ Years of experience building and deploying large-scale ML systemsDeep understanding of foundation models, self-supervised learning, and world models in robotics or simulationStrong software engineering background with fluency in Python and C++Experience training and evaluating transformer models or end-to-end autonomous agentsFamiliarity with real-time inference systems and autonomous vehicle constraintsProven leadership in driving ML projects from research to productionNice to have: prior work on end-to-end autonomous driving architectures, including imitation learning, behavior cloning, or world modelsexperience with sensor fusion using LiDAR, camera, or radar in a learned modelУсловия:No conditions specified #J-18808-Ljbffr