Embodied AI Researcher (R&D Lab)

About the role

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.

Responsibilities

• 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.

Requirements

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

Qualifications

• 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 independently drive technically ambitious research projects in dynamic and fast-moving environments.

Nice-to-Have

• 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, MuJoCo, Isaac Sim) for large-scale data generation, experimentation, and evaluation.

Pay

The base salary range is between $150k-$210k, depending on experience and location. Additional compensation incentives are also included.

Schedule

Full-time employees.