Embodied AI Researcher (R&D Lab)

Lgelectronics; Englewood Cliffs (NJ); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Comprehensive medical, dental, and vision benefits

401(k) retirement savings plan with matching contributions

Generous paid time off

Mental health resources and fitness incentives

Paid parental leave and family support

Job summary

Lgelectronics is seeking an Embodied AI Researcher to lead innovative research aimed at developing intelligent robots for next-generation home solutions. This hybrid role involves fundamental research, model development, and collaboration with global teams.

The ideal candidate will have a PhD or equivalent experience in a related field and a proven track record in AI research. The position offers a competitive salary, robust benefits, and the opportunity to create impactful products embraced by millions.

Qualifications

• PhD in relevant field with a strong publication record or equivalent experience.
• Deep expertise in Robot Foundation Models and Spatial Intelligence.
• Excellent communication skills and ability to drive research projects.

Responsibilities

• Conduct research to advance Embodied AI and publish findings.
• Develop Robot Foundation Models and train multimodal models.
• Collaborate with global teams to integrate AI technologies.

Skills

Robotics

Machine Learning

Computer Science

Spatial Intelligence

Multimodal representation learning

Education

PhD in Computer Science, Robotics, Machine Learning, or related field

Master’s degree with 3+ years of experience

Tools

Physics-based simulation platforms

Robot HW systems

Job description

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 that 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.

About the Team - LG's Emerging Technology Lab

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.

About the Position - Embodied AI Researcher

We are seeking an exceptional Embodied AI Researcher to help realize LG’s vision of Zero-labor Home. This hybrid role offers a unique opportunity to develop generalist robot intelligence and deploy it at scale in next‑generation LG home robot platforms. You will work at the frontier of embodied intelligence while seeing your research transition into real‑world products used by millions.

What You Will Do:

• 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.

Why This Opportunity Is Unique:

• Operate at the intersection of frontier AI research and large‑scale consumer deployment, where breakthroughs transition rapidly from papers to products.
• Enjoy strong support for research ownership and collaboration, including the opportunity to work and publish with leading universities and AI labs.
• Engage with startups and industry collaborators to co‑design hardware‑software systems and validate them in real‑world applications.

Expected Qualifications:

• 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
• 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.

Compensation

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

Benefits Offered Full‑Time Employees

• 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.

Benefits Offered Temporary/Contractors

• Eligible for the relevant benefit programs offered through our partner agencies.

All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied.