Embodied AI Researcher

LG Electronics • Englewood Cliffs, NJ

93d • $112,000 - $164,000

About The Position

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’s Emerging Technology Team is the catalyst for technological innovation within LG’s CTO organization. Located in Silicon Valley, 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 experienced Embodied AI Researcher, located in Englewood Cliffs, NJ. This is a hybrid position. The Embodied AI Engineer will contribute to the research and development of robotic foundation models, task generalization, embodied AI, physical intelligence AI, and physics simulation. Your contribution will have a significant impact on our research projects and product roadmaps.

Requirements

• Master's or PhD degree in CS/Robotics/EE or similar field.
• 0~3 years of industry experience in robotic foundation models, perception, planning, control systems, etc.
• Strong research experience in robotic foundation models or related field
• Good understanding of recent development trends in robotic foundation model, vision-language-action models, perception models, imitation learning, etc.
• Familiarity with policy learning methods (e.g., reward shaping and curriculum learning) and physics platforms (e.g., Genesis, Omniverse/Cosmos)
• Excellent verbal and writing skills to effectively represent the derived results and technical concepts of developed methods
• Strong interpersonal skills with the ability to effectively manage cross-functional teams

Responsibilities

• Work with cross-functional teams to push advanced research on Embodied AI topics (robotic foundation model, task planning, imitation learning)
• Collaborate with HQ and 3rd-party research labs for technical integration of robotics products into LG ecosystems.
• Invent and improve paradigms for embodied intelligence, including digital agents, physics simulation, and self-supervised methods by leveraging a variety of modalities (images, video, text, audio, tactile, etc.)
• Define project scope, goals, and deliverables to ensure alignment with business objectives
• Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence and physical intelligence

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees