Scale's Robotics business unit is dedicated to solving the data bottleneck in Physical AI
Requirements
- 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
- Experience working with robotics hardware platforms (robotic arms, perception systems, etc.)
- Experience deploying machine learning models on robotic systems in the field
Responsibilities
- Collaborate closely with Robotics customers to drive the industry forward in using VLA data
- Develop ML pipelines to train/fine-tune models using Scale’s 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 Scale’s customers to improve data collection
- Collaborate with product teams to bring ML outcomes to Scale’s platform
Other
- 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
- Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO
- PhD or equivalent experience
- 3+ years of relevant industry experience
