AI Researcher (Efficient AI)

LG Electronics; Santa Clara (CA); Hybrid; USD 116,000 - 125,000; Full time

Benefits offered by this job

No-cost medical premiums

401(k) with matching

Paid time off

Job summary

LG Electronics in Santa Clara, CA, is seeking a Contract AI Researcher - Efficient AI to join the Emerging Technology Lab. You will research and prototype methods to improve model efficiency, enabling faster inference on constrained devices and deployment in real-world workflows.

Ideal candidates have strong ML or AI systems experience, with Python and PyTorch proficiency, and a track record in LLM/ multimodal model work.

Qualifications

• MS/PhD in CS, CE, ML or related field.
• Experience in ML or AI systems and model optimization.
• Proficiency in Python and PyTorch.
• Experience with LLMs/SLMs/VLMs and generative AI systems.
• Ability to read papers, run experiments and report results clearly.
• Excellent written and verbal communication; adaptable in fast-paced env.

Responsibilities

• Research, prototype and implement AI methods to improve model efficiency.
• Optimize LLMs/SLMs/VLMs and agentic workloads for inference and deployment.
• Propose and evaluate compression methods for on-device LLM/VLMs.
• Address long-context inference and KV cache compression challenges.
• Develop gradient-free methods for model merging and efficiency optimization.
• Prototype inference-time optimization and kernel-level improvements.
• Build experimental pipelines and evaluate on language, vision and reasoning benchmarks.
• Contribute to publications, reports, open-source releases and IP.

Skills

Python

PyTorch

ML research

LLMs/Multimodal

Communication

Education

MS/PhD in CS/ML/related field

Tools

llama.cpp

GGUF

vLLM

TensorRT-LLM

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 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.

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 Opportunity

We are seeking a Contract AI Researcher - Efficient AI to join LG's Emerging Technology Lab in Santa Clara, CA (hybrid). This is an exciting opportunity to work at the forefront of AI efficiency research, developing technologies that make modern LLMs, VLMs, multimodal models, and AI agents faster, smaller, and more deployable in real-world environments.

Responsibilities

• Research, prototype, and implement AI methods that improve model efficiency, inference performance, and deployment feasibility on constrained devices.
• Optimize modern LLMs, SLMs, VLMs, multimodal models, and agentic workloads across post-training, inference, and deployment workflows.
• Propose and evaluate novel compression methods (PTQ, QAT, pruning, low-rank approximation, etc) for on-device LLM/VLM enablement.
• Devise approaches to address challenges related to long-context inference and KV cache compression in the context of reasoning and agentic applications.
• Develop gradient-free and backpropagation-free methods for model merging, compression, and efficiency-driven optimization.
• Implement and evaluate emerging efficient architectures and modules, including MoE, SSMs, hybrid models, Looped Transformers, etc.
• Prototype inference-time optimization methods such as speculative decoding, constrained decoding, low-latency generation, and kernel-level optimization.
• Build experimental pipelines, perform evaluations on standardized language, vision, reasoning, and agentic benchmarks.
• Contribute to publications, technical reports, open-source releases, invention disclosures, and IP submissions where appropriate.

Required Qualifications

• M.S. or Ph.D. in Computer Science, Computer Engineering, Machine Learning, Mathematics, or a related technical field. Relevant post-graduate research and/or industry experience is preferred but not required.
• Research or engineering experience in ML, efficient AI, model optimization, or AI systems.
• Strong programming ability in Python and experience with PyTorch or a comparable deep learning framework.
• Hands-on experience with modern LLMs, SLMs, VLMs, multimodal models, or generative AI systems.
• Ability to read research papers, implement technical methods, run experiments, and communicate results clearly.
• Comfortable working in a fast-moving and ambiguous technical environment.
• Strong written and verbal communication skills for reports, presentations, demos, and technical documentation.

Ways to Stand Out

• Publications in reputable venues in ML and/or systems space (e.g., ICML, ICLR, NeurIPS, ACL, COLM, EMNLP, MLSys, MICRO, etc).
• Experience with modern LLM/VLM inference and deployment frameworks such as llama.cpp, GGUF, vLLM, SGLang, TensorRT-LLM, or related systems.
• Experience with efficiency-aware post-training or finetuning methods such as PTQ, QAT, LoRA, distillation, instruction tuning, DPO, OPD, RLVR, or reasoning-oriented adaptation.
• Experience with low-level kernel implementations and on-device acceleration.
• Familiarity with emerging architectures such as MoE, SSMs, hybrid attention, or Looped Transformers.
• Experience with AI-assisted optimization, multi-agent systems, or agentic-based workflows for Efficient AI and hardware/software co-design.

Contract

This is expected to be a one-year contract position, with the potential for extension based on business needs and performance.

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 investmentoptions.
• 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.

Accommodations

Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or [e-mail]. This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.

EEO Statement

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.

$84.13 - $91.34 USD

Salary Transparency Statement

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.