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Sr. AI Model Optimization Engineer & Researcher (R&D Lab)

Santa Clara, CA

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 Mission is to be #1 by creating a better life for our customers. At LG we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make “Life Good”! As a global leader, we strive for greatness not only in the products we make but in our people.  That is why we are currently seeking the newest innovator to join our team as a Senior AI Model Optimization Engineer, located in Santa Clara, California. This is a hybrid position.

 

Our Emerging Technology team is looking for an experienced Sr. AI Model Optimization Engineer to contribute to the research and development of the latest On-Device AI Centric optimization techniques to be applied to popular LLM and diffusion models development for our Edge Centric AI products.

 

What You’ll Do:

  • Work with the team to lead all on-device AI optimization efforts and collaborate with HQ and other AI Labs for product level technical implementation on our products.
  • Define and lead the execution of model compression, distillation, and integrating to the full on-device AI user experiences. We expect you to have strong, efficient ML model development experience and a passion for shipping machine learning models on device
  • Grow and maintain relationships with internal and external stakeholders (AI teams, System IC teams, edge SW teams) to develop an innovative Edge-centric AI applications and platform
  • Publishing novel research at top ML conferences.
  • Initiate and oversee the development, implementation, administration, monitoring and improvement of security, policies, programs, and protocols
  • Work with leading academic or 3rdparty company researchers to expedite edge-centric AI platform development
  • Execute full software development life cycle (SDLC)

 

Education and Skills We’d Like You To Have:

  • PhD degree in CS or EE with a specialization in, AI/ML, etc. with 3 + years of relevant experience
  • Expert-level knowledge of on-device AI model optimization and accelerators
  • Familiar with model compression algorithms including quantization, pruning, distillations, and experience on optimizing large diffusion models or language models
  • Continued experience researching the latest Generative AI trends
  • Good understanding of System Architecture for energy-efficient edge AI
  • Experience of hybrid architecture design to maximize edge processing and cloud computation 
  • Collaboration experience with internal and external technical partners.
  • Excellent communication skills
  • Experience working in agile environments with cross-functional delivery teams
  • Detailed knowledge of system design and software development methodology and its application to overall system design

 

What We Can Offer You:

  • Culture for Growth | Top Notch Employee Health & Well Being Benefits | Every Voice Matters | Global Reach 

 

Compensation: In addition to the base salary range listed below, this role also includes a performance-based incentive bonus plan.

#L1-JH1

#L1-Hybrid

Recruiting Range

$151,000 - $221,000 USD

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.

Privacy Notice to California Applicants

At LG, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Consistent with our commitment to providing equal opportunity and embracing diversity, LG has implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.

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.

 

 

 

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