We are seeking a Machine Learning Research Engineer to join our Robotics business unit. In this role, you will contribute to conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. You will have the opportunity to advance Robotic research, shape Scale's robotics offerings, and expand the frontier of Robotics data and model evaluation.
Your responsibilities will include collaborating closely with Robotics customers to drive the industry forward in using VLA data, developing ML pipelines to train/fine-tune models using Scale's data, conducting research on robotics data collection, cross-embodiment training, and policy fine-tuning, developing novel methods for evaluating VLA models, including new robotics industry benchmarks, partnering with cross-functional stakeholders and Scale's customers to improve data collection, and collaborating with product teams to bring ML outcomes to Scale's platform.
To be successful in this role, you will have practical experience building training VLA models and/or building robotics data, 3+ years of relevant industry experience in areas relating to robotics, computer vision, embodied AI, sim-to-real, imitation learning, reinforcement learning, and vision language actions models, a PhD or equivalent experience in Machine Learning or Robotics, a track record of published research in robotics, experience conducting data collection and performing evaluations, strong written and verbal communication skills and the ability to work with cross-functional teams and customers, intellectual curiosity, empathy, and ability to operate with a high degree of autonomy.
Nice to have experience working with robotics hardware platforms (robotic arms, perception systems, etc.), experience deploying machine learning models on robotic systems in the field, experience with teleoperated or human-driven data for robotics (ALOHA, UMI, hand tracking, etc.).
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