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 GenAI & Agentic AI Intern focusing on Contextual Targeting, you will research and develop advanced Agentic AI solutions that enable near real-time content analysis and autonomous decision-making to determine where to show ads and what ads to show. You will leverage Samsung's proprietary data and cutting-edge generative AI technologies to build intelligent, context-aware systems that go far beyond traditional fixed ad slot label-based contextual targeting. You will work on integrating these solutions with existing Samsung Ads systems, designing rigorous experiments to measure performance improvements, and pushing the boundaries of what autonomous AI agents can achieve in the advertising domain. 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
Responsibilities
• Research and develop advanced Agentic AI architectures that autonomously analyze content in real time and make intelligent ad placement and ad selection decisions
• Design and build GenAI-powered contextual understanding systems that extract rich semantic signals from multimedia content (video, audio, text, and metadata) to enable deeper contextual targeting beyond traditional fixed ad slot labels
• Develop autonomous AI agents capable of reasoning over contextual signals, advertiser objectives, and audience context to optimize ad-content alignment in real time
• Integrate Agentic AI solutions with existing Samsung Ads systems and infrastructure, ensuring seamless interoperability with current contextual targeting pipelines
• Design and execute rigorous experiments to evaluate and benchmark the performance of Agentic AI-based contextual targeting against existing fixed ad slot label-based approaches
• Explore cutting-edge techniques in multi-agent systems, tool-augmented LLMs, and retrieval-augmented generation (RAG) to enhance contextual reasoning and decision-making capabilities
• Create quick prototypes and proof-of-concepts demonstrating the value of agentic and generative AI for next-generation contextual targeting
• Closely work with the machine learning engineering team to deploy new models and agent-based systems to generate real-world impact
• Publish research results in top venues and file patents
Experience Requirements
• PhD students in Computer Science or relevant fields
• Solid theoretical background in machine learning, natural language processing, and/or multi-agent systems
• Hands-on experience with large language models (LLMs), including fine-tuning, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen, CrewAI, or similar)
• Thorough understanding of state-of-the-art generative AI techniques, including LLMs, vision-language models, and retrieval-augmented generation (RAG)
• Experience with building autonomous AI agents capable of planning, reasoning, tool use, and decision-making
• Proficiency in data structures, algorithms, and machine learning libraries (e.g., PyTorch, TensorFlow, HuggingFace Transformers, etc.)
• Strong programming skills with Python
• Good communication and interpersonal skills
• Publications in relevant top venues (e.g., KDD, NeurIPS, ICML, ICLR, AAAI, IJCAI, ACL, EMNLP, CVPR, WWW, etc.)
Preferred Experience Requirements
• Experience with multimodal content understanding (video, audio, image, and text analysis)
• Familiarity with advertising technology, contextual targeting, or recommendation systems
• Knowledge of real-time inference systems and low-latency model serving
• Basic knowledge about big data tools and data pipelines
• Experience with multi-agent orchestration, reinforcement learning, or planning-based AI systems
• Familiarity with evaluation methodologies for autonomous AI systems (e.g., human-in-the-loop evaluation, A/B testing frameworks)
Salary Range Pay Transparency: Compensation for this role, for candidates based in Mountain View CA is expected to be between $42.00 - $61.00 per hour. Plus Samsung will give a housing stipend of $1,800 per month during the internship program. Actual pay will be determined considering factors such as relevant skills and experience, and comparison to other employees in the role.
