Staff AI Engineer

LG Electronics • Santa Clara, CA

6d

About The Position

LG Electronics is a global leader in consumer electronics. Our Media Entertainment Solutions division is strategically investing in our webOS smart TV platform as a core growth engine, extending beyond hardware sales. We are significantly expanding our new business and service innovation team right here in Santa Clara, CA (Silicon Valley), fostering collaboration with cutting-edge partners and startups to build a richer ecosystem. This expansion is key to discovering and launching next-generation services on webOS.

We are seeking a talented and motivated Staff AI Engineer to join this dynamic Santa Clara-based team, focusing on leveraging AI/ML to drive the evolution and monetization of the webOS ecosystem. This role is crucial for developing AI-powered features that enhance user engagement, personalize experiences across LG and partner devices, optimize advertising revenue (a key cash cow), and enable new content and service categories like cloud gaming, commerce, and emerging Web3/blockchain integrations. You will play a pivotal role in innovating the media and entertainment experience for millions of webOS users worldwide and contribute directly to LG's platform-based recurring revenue goals.

Requirements

• Bachelor's, Master's degree or above in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
• Proven hands-on experience (8+ years) in developing and deploying machine learning models in a production environment.
• Strong programming proficiency in Python and familiarity with major ML libraries and frameworks (e.g., PyTorch, TensorFlow, or JAX).
• Solid understanding of core ML algorithms, deep learning concepts, and statistical modeling.
• Experience with data processing and analysis tools applied to large datasets.
• Excellent analytical and problem-solving skills.
• Ability to thrive in a collaborative, fast-paced environment, potentially working with global teams and external partners.
• Strong communication skills in English.

Nice To Haves

• PhD in a relevant field.
• Experience with MLOps practices and tools (e.g., Kubeflow, MLflow, Docker, Kubernetes).
• Experience with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
• Experience developing AI solutions for consumer electronics, embedded systems, or content delivery platforms.
• Specific experience or knowledge in advertising technology (AdTech), such as user segmentation, targeting, RTB, or ad performance optimization.
• Experience or familiarity with cloud gaming platforms or technologies.
• Interest or experience in Web3, blockchain technologies, or their application in media/entertainment/digital ownership.
• Experience in developing AI for commerce or e-commerce platforms (recommendations, personalization).
• Experience with computer vision techniques (potentially for fitness, interactivity, or content analysis).
• Proven experience collaborating effectively with external partners or startups.

Responsibilities

• Design, develop, train, and deploy AI/ML models to optimize content discovery, personalization, and targeted advertising across the rapidly expanding webOS ecosystem.
• Analyze large-scale user interaction data from LG TVs and partner devices running webOS to derive insights, drive platform improvements, enhance user understanding, and identify new service opportunities.
• Collaborate closely with product managers, software engineers, UX/UI designers, business development teams, and strategic partners to define requirements and integrate impactful AI-driven features.
• Optimize AI models for efficient performance and deployment on resource-constrained TV hardware (embedded systems).
• Stay abreast of the latest advancements in AI/ML, particularly in fields relevant to AdTech, digital fitness, cloud gaming, Web3, commerce, computer vision, personalization, and consumer electronics.
• Explore, prototype, and validate AI applications leveraging emerging technologies relevant to the webOS platform strategy, new revenue streams, and partner collaborations.
• Document methodologies, models, and results clearly.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level