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Remote | VP of Robotics Research — $1,500,000–$4,000,000/year

Role overview

Qualifications

  • Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering
  • Proven experience leading or mentoring technical or research teams
  • Deep understanding of robotics data pipelines and multimodal datasets
  • Master's or PhD in Robotics, Computer Science, AI, Electrical Engineering, or a related field is highly valued

Responsibilities

  • Define and execute research strategy across robotics data, embodied AI, and robot learning
  • Build, mentor, and grow a high-performing Robotics Research team
  • Establish benchmarks for robot-learning performance
  • Partner with AI researchers, robotics engineers, product, and operations teams

Key facts

  • Remote from: New York (USA)
  • Full time
  • Expert & Leadership (>10 years)
  • English

Hard skills

Other skills

  • Depth Perception
  • Communication
  • Mentorship
  • Leadership

About the company

24-MAG logo

24-MAG

Business Consulting & Services

Company details

IndustryBusiness Consulting & Services
Company size2 - 10

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Job description

We are sharing a full-time leadership opportunity for an experienced robotics research executive with deep expertise in robot learning, embodied AI, robotics software, multimodal data, perception, manipulation, and large-scale robotics data systems.

The successful candidate will define the research strategy behind robotics data and robot learning, build and mentor a high-performing research team, and work across research, engineering, product, and operations to develop scalable robotics data systems and evaluation frameworks.

Key Responsibilities

Robotics Research Strategy

  • Define and execute research strategy across robotics data, embodied AI, and robot learning
  • Set priorities across perception, manipulation, control, and data-centric learning
  • Translate emerging research into scalable technical programmes
  • Maintain a clear technical vision while remaining involved in experimentation

Robotics Data & Learning Systems

  • Define how robotics data is collected, represented, validated, and delivered
  • Design multimodal datasets covering perception, actions, trajectories, and environment state
  • Develop scalable collection strategies using teleoperation, demonstrations, simulation, autonomous exploration, and real-world deployments
  • Establish task taxonomies, annotation schemas, and quality-control processes

Perception, Manipulation & Control

  • Lead research involving robot perception and manipulation
  • Evaluate imitation learning, reinforcement learning, control, and foundation-model approaches
  • Analyse performance limitations and sources of failure
  • Connect research findings with scalable engineering implementations

Benchmarks & Evaluation

  • Establish benchmarks for robot-learning performance
  • Define metrics and success criteria across robotics tasks
  • Compare models, policies, datasets, and collection approaches
  • Use evaluation findings to guide research priorities

Research Team Leadership

  • Build, mentor, and grow a high-performing Robotics Research team
  • Foster scientific rigour, curiosity, and rapid experimentation
  • Balance long-term research priorities with practical delivery requirements
  • Promote strong technical documentation and knowledge sharing

Cross-Functional Execution

  • Partner with AI researchers, robotics engineers, product, and operations teams
  • Translate research and client objectives into clear data-pipeline specifications
  • Operationalise research into production-ready robotics data solutions
  • Communicate technical trade-offs and requirements clearly across teams

Ideal Profile

  • Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering
  • Proven experience leading or mentoring technical or research teams
  • Deep understanding of robotics data pipelines and multimodal datasets
  • Strong expertise in perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models
  • Experience designing and evaluating large-scale robotics datasets
  • Ability to translate research into scalable systems
  • Excellent written and verbal communication skills
  • Master's or PhD in Robotics, Computer Science, AI, Electrical Engineering, or a related field is highly valued
  • Publications at CoRL, RSS, ICRA, IROS, NeurIPS, ICML, CVPR, or comparable venues are advantageous
  • Experience with ROS/ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, ManiSkill, or similar environments is valuable
  • Open-source robotics contributions or significant embodied-AI research are advantageous

Engagement Details

  • Full-time engagement
  • Fully remote
  • Compensation: $1,500,000–$4,000,000/year
  • Work will involve robotics research leadership, embodied AI, robot learning, multimodal data, perception, manipulation, evaluation frameworks, and research-team development
  • Strong technical leadership combined with hands-on robotics research experience is central to the role
  • Project priorities, datasets, and technical approaches may evolve as research requirements develop
  • Work must be completed without using confidential, proprietary, unpublished, client-sensitive, or otherwise restricted information belonging to any employer, research laboratory, university, robotics company, client, collaborator, or other third party

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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