Embodied AI Researcher

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 the 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.

 

About the Position - Embodied AI Researcher

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.

 

What You Will Do:

• 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.

 

 

 

Why This Opportunity Is Unique:

• 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.

 

Expected Qualifications:

• PhD in Computer Science, Robotics, Machine Learning, or a related technical field with a strong p