Embodied AI Researcher

Remote, USA
Posted Jun 14, 2026
Full-time

LG Electronics North America is a global leader in technology dedicated to creating innovative solutions for a better life. The Embodied AI Researcher will contribute to the development of physical intelligence for deploying robots in real-world tasks, focusing on building AI models for spatial intelligence and robot dexterity, and integrating large foundation models for embodied AI applications.

Responsibilities

  • 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

Skills

  • 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 recent development trends in robot foundation models, vision-language-action models, vision foundation models, large behavior models, visuotactile policy learning, etc
  • Familiarity with physics simulation platforms and environments (e.g. PyBullet, MuJoCo, Nvidia Omniverse/Isaac Gym, Genesis) for large scale data generation and experimentation
  • Excellent verbal and writing skills to effectively present the derived results and technical concepts of developed methods
  • Strong interpersonal skills with the ability to effectively work with cross-functional teams

Benefits

  • 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 program that includes company holidays and a combined bank of paid sick and vacation time.
  • Performance based Short-Term Incentives (varies by role).
  • Access to confidential mental health resources to help you and your loved ones improve your quality of life.
  • Personal fitness goal incentives.
  • Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
  • Group Rate Life and Disability Insurance.

Company Overview

  • At LG, we provide products and services aimed at helping people—at home, at work, or wherever life takes them. It was founded in 1978, and is headquartered in Englewood Cliffs, NJ, US, with a workforce of 1001-5000 employees. Its website is https://www.lg.com/us.

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