Senior Full Stack Developer (Remote, Full-time) [HR144]
•Smart Working Solutions· 12h
💻 Engineering⏰ Full-time⭐ Senior🇮🇳 India
12h ago
Lgelectronics·7 months ago
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.
What we can offer:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity: The team is located in Santa Clara, CA. This can be a hybrid 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 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.
- 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.
Qualifications:
- 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.
Qualifications:
- 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.
#LI-JH1 #LI-Hybrid
Benefits Offered Full-Time Employees:
Benefits Offered Temporary/Contractors:
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.