Machine Learning Research Engineer - Robotics

Scales Robotics business unit is dedicated to solving the data bottleneck in Physical AI. This position will be a key contributor in conducting applied research in Robotics and developing ML pipelines for training and fine-tuning on data collected by Scale. In this role, you will have the opportunity to advance Robotic research, shape Scales robotics offerings, and expand the frontier of Robotics data and model evaluation. You will: Collaborate closely with Robotics customers to drive the industry forward in using VLA data Develop ML pipelines to train/fine-tune models using Scales data Conduct research on robotics data collection, cross-embodiment training, and policy fine-tuning Develop novel methods for evaluating VLA models, including new robotics industry benchmarks Partner with cross-functional stakeholders and Scales customers to improve data collection Collaborate with product teams to bring ML outcomes to Scales platform You 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 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 haves: 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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