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
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Define and execute research strategy across robotics data, embodied AI, and robot learning
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Set priorities across perception, manipulation, control, and data-centric learning
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Translate emerging research into scalable technical programmes
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Maintain a clear technical vision while remaining involved in experimentation
Robotics Data & Learning Systems
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Define how robotics data is collected, represented, validated, and delivered
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Design multimodal datasets covering perception, actions, trajectories, and environment state
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Develop scalable collection strategies using teleoperation, demonstrations, simulation, autonomous exploration, and real-world deployments
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Establish task taxonomies, annotation schemas, and quality-control processes
Perception, Manipulation & Control
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Lead research involving robot perception and manipulation
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Evaluate imitation learning, reinforcement learning, control, and foundation-model approaches
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Analyse performance limitations and sources of failure
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Connect research findings with scalable engineering implementations
Benchmarks & Evaluation
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Establish benchmarks for robot-learning performance
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Define metrics and success criteria across robotics tasks
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Compare models, policies, datasets, and collection approaches
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Use evaluation findings to guide research priorities
Research Team Leadership
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Build, mentor, and grow a high-performing Robotics Research team
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Foster scientific rigour, curiosity, and rapid experimentation
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Balance long-term research priorities with practical delivery requirements
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Promote strong technical documentation and knowledge sharing
Cross-Functional Execution
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Partner with AI researchers, robotics engineers, product, and operations teams
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Translate research and client objectives into clear data-pipeline specifications
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Operationalise research into production-ready robotics data solutions
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Communicate technical trade-offs and requirements clearly across teams
Ideal Profile
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Significant experience in robotics research, embodied AI, robot learning, or robotics software engineering
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Proven experience leading or mentoring technical or research teams
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Deep understanding of robotics data pipelines and multimodal datasets
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Strong expertise in perception, manipulation, control, imitation learning, reinforcement learning, or robotics foundation models
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Experience designing and evaluating large-scale robotics datasets
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Ability to translate research into scalable systems
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Excellent written and verbal communication skills
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Master's or PhD in Robotics, Computer Science, AI, Electrical Engineering, or a related field is highly valued
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Publications at CoRL, RSS, ICRA, IROS, NeurIPS, ICML, CVPR, or comparable venues are advantageous
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Experience with ROS/ROS2, Isaac Lab, Isaac Sim, MuJoCo, Habitat, ManiSkill, or similar environments is valuable
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Open-source robotics contributions or significant embodied-AI research are advantageous
Engagement Details
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Full-time engagement
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Fully remote
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Compensation: $1,500,000–$4,000,000/year
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Work will involve robotics research leadership, embodied AI, robot learning, multimodal data, perception, manipulation, evaluation frameworks, and research-team development
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Strong technical leadership combined with hands-on robotics research experience is central to the role
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Project priorities, datasets, and technical approaches may evolve as research requirements develop
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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.
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