Embodied AI Researcher; R&D Lab

About the Team - LG's Emerging Technology Lab

LG's Emerging Technology Lab (ETL) is the catalyst for technological innovation within LG's CTO organization. Located in Silicon Valley and New Jersey, we drive excellence across CTO organizations and business units by pioneering in select emerging technology areas. As the Center of Excellence (CoE), we define and shape key technology domains, setting strategic directions that foster impactful internal and external partnerships to deliver measurable business value.

We are seeking an exceptional Embodied AI Researcher to help realize LG's vision of the Zero‑labor Home. This hybrid role offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next‑generation LG home robot platforms. You will work at the frontier of embodied intelligence while seeing your research transition into real‑world products used by millions.

• Conduct fundamental and applied research to advance the state of the art in Embodied AI, with the support to publish at top‑tier conferences and contribute to the broader scientific community.
• Develop next‑generation Robot Foundation Models to advance robot capabilities such as 3D spatial reasoning, dexterous manipulation, zero‑shot task generalization, long‑horizon planning, and safe human‑robot interaction.
• Train multimodal models that integrate vision, language, tactile sensing, and proprioception to achieve robust real‑world performance.
• Architect scalable data pipelines that combine high‑fidelity simulation, generative AI, and real‑world data collection to fuel large‑scale model training.
• Collaborate with global research teams and hardware partners to integrate embodied AI technologies into LG's consumer ecosystem.
• Contribute to defining technical strategy and long‑term research roadmaps that shape LG's embodied AI initiatives.

• Operate at the intersection of frontier AI research and large‑scale consumer deployment, where breakthroughs transition rapidly from papers to products.
• Enjoy strong support for research ownership and collaboration, including the opportunity to work and publish with leading universities and AI labs.
• Engage with startups and industry collaborators to co‑design hardware‑software systems and validate them in real‑world applications.

• PhD in Computer Science, Robotics, Machine Learning, or a related technical field with a strong publication record (or Master's degree with 3+ years of equivalent research or industry experience demonstrating comparable impact).
• Deep research and engineering expertise in one or more of the following areas:
  • Robot Foundation Models (e.g., VLA, LBM, Diffusion/Flow Matching for manipulation and locomotion)
  • World Model training for robot action prediction
  • Spatial Intelligence (self‑supervised visual foundation models, 3D scene reconstruction, embodied scene understanding)
  • Multimodal representation learning across vision, language, and tactile
  • Learning from human demonstrations and self play
• Excellent written and verbal communication skills, with the ability to clearly articulate complex technical ideas across research and engineering teams.
• Proven ability to work independently and drive technically ambitious research projects in dynamic and fast‑moving environments.

• Hands‑on experience with robot HW systems, including manipulators or mobile robots, and sensors such as RGB/Depth cameras and FT/Tactile sensors.
• Experience with physics‑based simulation platforms (e.g., PyBullet, Mu Jo Co , Isaac Sim) for large‑scale data generation, experimentation, and evaluation.

Base salary range is between $150,000–$210,000, depending on experience and location. Additional compensation incentives are also included.

• No‑cost employee premiums for you and your eligible dependents for competitive medical, dental, vision, and prescription benefits.
• Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
• Generous Paid Time Off…