Embodied AI Researcher
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