ML Training Infrastructure Engineer

As a key member of a growing team, you'll design and implement scalable infrastructure for machine learning model training, leveraging expertise in Python, PyTorch, and Kubernetes to drive autonomous system development. Your work will enable the creation of more efficient and adaptable physical labor systems, pushing the boundaries of what's possible in robotics and manufacturing. With a strong foundation in infrastructure and DevOps, you'll collaborate closely with research engineers and machine learning teams to ensure seamless model deployment and testing. This role offers the opportunity to make a significant impact in a rapidly evolving field.