The Machine Learning Engineer will implement, optimize, and scale machine learning models and training pipelines while bridging the gap between experimental research and production systems. They will also develop infrastructure for data, simulation, and evaluation to support the engineering and research teams.
Define and pursue original research questions in priority areas such as memory, reasoning, and multimodal AI. Collaborate with engineers and researchers to publish findings at top AI venues and mentor junior staff.
The Platform/DevOps Engineer will build and automate development environments while designing CI/CD pipelines to support AI and research teams. They will also establish DevSecOps practices and provide operational guardrails to ensure reliable, scalable infrastructure.
The Robotics Engineer will design, build, and maintain robotic platforms and software stacks to transition research into physical hardware. They will collaborate with scientists to develop simulation environments, data collection infrastructure, and deploy learned models on robots.
