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LG Electronics North America · 1 week ago

Senior AI Engineer (webOS Platform & New Business Innovation)

Santa Clara, CA

Full-time

Hybrid

Senior Level

$120K/yr - $204K/yr

5+ years exp

LG Electronics North America is a global leader in technology, dedicated to creating innovative solutions for a better life. They are seeking a talented AI Engineer to leverage AI/ML for the evolution and monetization of the webOS ecosystem, focusing on developing AI-powered features that enhance user engagement and optimize advertising revenue.

Consumer Electronics

Hiring Manager

Jen Hosey

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

Qualification

Machine LearningPythonAI Model DeploymentData ProcessingCloud PlatformsMLOps ToolsAnalytical SkillsProblem-SolvingCollaborationCommunication Skills

Required

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 (5+ 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

Preferred

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

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.