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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

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