Embodied AI Researcher

Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, ‘Life’s Good’, embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions.

Our management philosophy, “Jeong-do Management,” embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of ‘Customer-Value Creation’ and ‘People-Oriented Management’, these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology.

At LG, we strive to make Life Good for Everyone.

LG Emerging Technology team 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.

Our Emerging Technology team is looking for an Embodied AI Researcher with strong academic and/or industry experience. This is a hybrid position based out of LG North America HQ at Englewood Cliffs, NJ (15 mins from New York City). As an Embodied AI Researcher, you will contribute to the development of physical intelligence for deploying robots for real-world tasks. Specifically, the ideal candidate should have solid experience and interest in topics such as building AI models for spatial intelligence and robot dexterity, leveraging simulation and large-scale data for task generalization, and integrating large foundation models for embodied AI applications.

Your contributions will have a significant impact on LG’s technology and product roadmaps.

Perform fundamental and applied research to push the scientific and technological frontiers of Embodied AI and Robotics on topics such as robot foundation model, self-supervised representation learning, large behavior models, multimodal spatial reasoning and action policy, and long-horizon task planning.

• Invent and integrate systems and pipelines for large-scale data generation through simulation, GenAI, and real-world demos for developing foundational embodied AI models leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
• Develop and demonstrate foundational robot capabilities such as 3D spatial understanding, robot dexterity, task generalization and adaptation, and human-robot interaction and safety.
• Work with cross-functional teams to train, optimize, and deploy embodied AI models on integrated hardware‑software platforms for home robot applications.
• Collaborate with HQ and 3rd‑party research labs for integration of state‑of‑the‑art AI models and robotics products into LG ecosystems.
• Contribute to defining project scope and goals to ensure alignment with business objectives.
• PhD degree (or Master’s degree with minimum 3 years of experience) in CS/Robotics/EE or similar field.
• 0~3 years of industry experience in embodied AI, robot perception, machine learning, robot action planning and control, physics simulation etc.
• Strong research experience in topics such as imitation learning, multimodal (images, text, audio, tactile, etc.) representation learning, self‑supervised and reinforcement learning, 3D scene understanding and reconstruction, LLM/VLM fine‑tuning and integration, task‑and‑motion planning.
• Hands‑on experience of integration and evaluation of AI models with real‑world data from RGB/depth/LIDAR sensors and on physical systems such as robot manipulators and mobile robots and etc.
• Good understanding of…