DL Gen AI Intern

Samsung Electronics • Mountain View, CA

3d • Onsite

About The Position

Position Summary Position Summary Samsung Ads is an advanced advertising technology company in rapid growth that focuses on enabling brands to connect with Samsung TV audiences as they are exposed to digital media by using the industry's most comprehensive data to build the world's smartest advertising platform. Being part of an international company such as Samsung and doing business around the world means that we get to work on big complex projects with stakeholders and teams located around the globe. We are proud to have built a world-class organization grounded in an entrepreneurial and collaborative spirit. Working at Samsung Ads offers one of the best environments in the industry to learn just how fast you can grow, how much you can achieve, and how good you can be. We thrive on problem-solving, breaking new ground, and enjoying every part of the journey. Machine learning lies in the core of the advertising industry. This is no exception to Samsung Ads. At Samsung Ads, the Platform Intelligence (PI) team is actively exploring the latest deep learning and generative AI techniques to improve our existing systems and products and create new revenue streams. Our mission is to represent Samsung's leadership in large-scale machine learning products by collaborating with the best and brightest and creating a collaborative environment between industry and academia. As a deep learning / generative AI intern, you will have access to unique Samsung proprietary data to develop and deploy a wide spectrum of large-scale machine learning products with real-world impact. You will explore the potential of GenAI and Agentic AI for advanced feature engineering—researching and developing AI-driven solutions that automatically extract and synthesize high-dimensional embedding features from multi-source datasets. You will experiment with novel vector space refinement approaches and feature engineering techniques to significantly enhance predictive model accuracy, directly improving key KPIs (e.g., i2i, ROAS, CPA) for our performance solutions. You will work closely with and be supported by a talented engineering team and top-notch researchers to work on exciting machine learning projects and state-of-the-art technologies. You will be welcomed by a unique learning culture and creative work atmosphere. Publications and patents are expected as outputs of an internship. Location: Mountain View, CA

Requirements

• PhD students in Computer Science or relevant fields
• Thorough understanding of state-of-the-art LLM models and Agentic AI systems
• Solid theoretical background in machine learning and/or data mining
• Hands-on experience with machine and deep learning algorithms and models
• Proficiency in data structures, algorithms, and machine learning libraries (e.g., TensorFlow, Keras, etc.)
• Strong programming skills with Python
• Good communication and interpersonal skills
• Publications in relevant top venues (e.g., KDD, NIPS, ICML, ICLR, AAAI, IJCAI, ICDM, ACL, etc.)

Nice To Haves

• Basic knowledge about big data tools and data pipelines

Responsibilities

• Research and develop GenAI and Agentic AI solutions that automatically extract and synthesize high-dimensional embedding features from multi-source datasets
• Leverage GenAI capabilities to experiment with novel vector space refinement approaches and feature engineering techniques to significantly enhance predictive model accuracy for advertising solutions
• Design and develop deep learning algorithms and models for real-world products
• Closely work with the machine learning engineering team to deploy new models to generate real-world impact
• Create quick prototypes and proof-of-concepts for future product features
• Design experiments, perform evaluations, and apply enhancements to our products
• Publish research results in top venues and file patents
• Explore cutting-edge machine learning technologies for our products

What This Job Offers

• Career Level: Intern
• Education Level: Ph.D. or professional degree