Staff Machine Learning Engineer, End-to-End Autonomy

Experteer Overview As a Staff ML Engineer on the Autonomy team, you will help shape the Large Driving Model (LDM) that unifies perception, prediction, and planning for autonomous driving. You will drive end-to-end architecture, multi-modal transformer systems, and scale-up training/evaluation pipelines across real-world and simulated data. You’ll bridge research and production, balancing capabilities with deployment constraints like latency and robustness. This role offers impact on a mission-driven company that scales advanced autonomy while emphasizing safety and real-world deployment. Compensation / Benefits * Design technical strategy and architecture for end-to-end autonomous driving models * Develop multi-modal, multi-task transformer-based systems for closed-loop autonomy * Build and optimize training/evaluation pipelines at petabyte scale using real-world and simulated data * Collaborate with perception, planning, simulation, and ML infrastructure teams * Align model capabilities with deployment constraints (latency, robustness, validation) * Publish internal technical guidance and mentor autonomy ML engineers Tasks * B.S., M.S., or Ph.D. in Computer Science, Robotics, or related field * 5+ years of experience building and deploying large-scale ML systems * Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation * Strong software engineering background; fluency in Python and C++ * Experience training and evaluating transformer models or end-to-end autonomous agents * Familiarity with real-time inference systems and autonomous vehicle constraints * Proven leadership in driving ML projects from research to production Key requirements * medical/Rx, dental and vision insurance * international or domestic partner coverage * children coverage up to age 26 * coverage starts day one * equal opportunity employer * disability accommodations available

will with deployment constraints (latency, robustness, validation) * Publish internal technical guidance and mentor autonomy ML engineers Tasks * B.S., M.S., or Ph.D. in Computer Science, Robotics, or related field * 5+ years of experience building and deploying large-scale ML systems * Deep understanding of foundation models, self-supervised learning, and world models in robotics or simulation * Strong software engineering background; fluency in Python and C++ * Experience training and evaluating transformer models or end-to-end autonomous agents * Familiarity with real-time inference systems and autonomous vehicle constraints * Proven leadership in driving ML projects from research to production Key requirements * medical/Rx, dental and vision insurance * international or domestic partner coverage * children coverage up to age 26 * coverage starts day one * equal opportunity employer * disability accommodations available