Key details
- Role type
- Full-time
- Compensation
- $1,500,000–$4,000,000/yr
- Work arrangement
- Remote
- Category
- technology
- Openings
- 1
About this role
Lead the research team shaping the data foundations for robot learning. This remote, full-time role sets the technical direction for a Robotics Data Engine, advancing capable robotic systems through research spanning robotics, perception, learning, and large-scale data.
Key Responsibilities- Define and execute research strategy for robotics data, embodied AI, and robot learning.
- Lead research on robotics datasets, multimodal representations, perception, manipulation, and data-centric learning.
- Build, mentor, and develop a team of Robotics Researchers, supporting scientific rigor, curiosity, and rapid experimentation.
- Develop data-collection approaches using teleoperation, human demonstrations, simulation, autonomous exploration, and real-world deployments.
- Design scalable data pipelines, including collection workflows, task taxonomies, annotation schemas, quality controls, evaluation methods, and delivery formats.
- Turn research and client objectives into scalable pipeline specifications, including data requirements, collection strategies, labeling standards, and success metrics.
- Partner with research, engineering, product, and operations teams to operationalize pipeline designs and deliver production-ready robotics data solutions.
- Establish scalable benchmarks and evaluation frameworks to assess and improve robot-learning performance.
- Evaluate emerging research, datasets, and techniques from academic and industry leaders.
- Promote technical excellence through documentation, knowledge sharing, and clear cross-functional communication.
- Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering.
- Experience leading or mentoring high-performing technical or research teams.
- Deep knowledge of robotics data pipelines, multimodal datasets, and data infrastructure for robot learning.
- Strong expertise in robot perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models.
- Experience designing and evaluating large-scale robotics datasets and data-collection strategies.
- Ability to translate advanced research ideas into scalable engineering systems.
- Excellent written and verbal communication skills and experience working across multidisciplinary teams.
- A commitment to advancing embodied intelligence through innovative, data-driven research.
- Preferred: a Master''s or PhD in Robotics, Computer Science, Artificial Intelligence, Electrical Engineering, or a related field.
- Remote, full-time position.
- Annual compensation of $1, 500, 000 to $4, 000, 000.