Senior Machine Learning Infrastructure Engineer

This role sits at the cutting edge of machine learning infrastructure and robotics, focused on building the end-to-end systems that power autonomous machines operating in real-world environments. You will help design and scale the full ML lifecycle—from data ingestion and training pipelines to on-vehicle inference and reinforcement learning feedback loops. The position plays a critical role in enabling large-scale deployment of intelligent robotic systems across complex domains such as agriculture and heavy machinery. You will work closely with ML engineers, robotics specialists, and product teams to translate research and real-world data into production-grade systems. This is a highly cross-functional and hands-on engineering role where ambiguity is expected, iteration is fast, and impact is tangible in the field. Your work will directly shape the future of end-to-end autonomy and its real-world applications.