Robotics AI Scientist | Remote
- Source: LinkedIn
- Crossing Hurdles
- Remote
- United States
- Full-Time
- Mid level
Job Description
Position: VP of Robotics Research
Type: Full Time
Compensation: $120-$168/hour
Location: Remote
Commitment: 10-40 hours/week
Role Responsibilities
- Define and lead the Physical AI research agenda across robotics, embodied agents, learning, evaluation, and physical-world automation.
- Develop intelligent agents that connect foundation models with robots, machines, instruments, and physical systems.
- Lead research in robot learning, vision-language-action models, imitation learning, reinforcement learning, and world models.
- Design data-generation strategies using demonstrations, sensor data, simulation, teleoperation, and autonomous interactions.
- Develop scalable datasets, simulation environments, and infrastructure to improve physical-world learning and generalization.
- Establish rigorous evaluation frameworks for manipulation, planning, spatial reasoning, robustness, safety, and cross-environment transfer.
- Recruit, mentor, and lead exceptional researchers and engineers while collaborating with leading AI and robotics research organizations.
Requirements
- Strong experience in robotics, embodied AI, robot learning, autonomous systems, or related research fields.
- Deep understanding of robot learning, multimodal models, reinforcement learning, imitation learning, planning, and control.
- Strong knowledge of sensing, calibration, actuation, hardware constraints, uncertainty, and physical system integration.
- Demonstrated research excellence in identifying high-impact problems and developing innovative technical solutions.
- Strong experimental skills in hypothesis development, controlled testing, benchmarking, and evidence-based analysis.
- Expertise in evaluation methodologies, generalization, simulation-to-reality transfer, and robotics system design.
- Proven research leadership with the ability to mentor technical talent and lead ambitious research programs; a Master s or PhD in a relevant field is preferred.
Application Process (Takes 20 Min)
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage
