Remote

MAG 24 LLC
New York, NY, United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Learning Management Systems Data Systems Open Source Technology Reinforcement Learning Robot Operating System Information Technology Data Pipelines

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., 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

Requirements

  • 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

Benefits & conditions

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

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