> Markdown version of [/jobs/ext/3013973-remote](https://www.wearedevelopers.com/jobs/ext/3013973-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Remote - **Company:** MAG 24 LLC - **Location:** New York, NY, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Learning Management Systems, Data Systems, Open Source Technology, Reinforcement Learning, Robot Operating System, Information Technology, Data Pipelines - **Published:** September 20, 2026 - **Apply:** https://www.careerjet.com/jobad/us3f417a3464c6b247a08a493d88a0fad2 ## About the Role * 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 ## 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 ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Embracing the Hybrid Cloud: Unlocking Success with Open Source Technologies](https://www.wearedevelopers.com/videos/883-embracing-the-hybrid-cloud-unlocking-success-with-open-source-technologies) - [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)