Artificial Intelligence & Machine Learning Engineer

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape. Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality. Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward. Description

We are seeking a highly motivated AI & ML Engineer Intern to join our Enterprise AI & Data team within IT. In this role, you will contribute to the development of Generative AI, Agentic AI, and Enterprise AI solutions. Working alongside experienced engineers and architects, you will help build intelligent applications, agentic workflows, knowledge systems, and AI-powered experiences that drive business value at scale. This role is ideal for candidates passionate about Artificial Intelligence, Large Language Models (LLMs), Software Engineering, and emerging AI technologies.

1. AI Application Development & GenAI Integration • Develop AI-powered applications and services using modern GenAI frameworks. • Build prompt workflows, tool integrations, and conversational experiences using LLMs. • Integrate AI capabilities into enterprise applications through APIs and microservices. • Assist in creating reusable prompt templates, workflows, and AI best practices. • Develop and test AI features using Python and modern AI development libraries. 2. Agentic AI & Workflow Automation • Participate in designing agent-based systems for task automation and multi-step reasoning. • Build AI agents capable of interacting with tools, APIs, and enterprise data sources. • Support implementation of agent orchestration, workflow automation, and tool-calling patterns. • Help evaluate agent performance, reliability, and safety. 3. Retrieval-Augmented Generation (RAG) & Knowledge Systems • Assist in developing RAG pipelines for enterprise knowledge discovery. • Build document ingestion, chunking, embedding, and retrieval workflows. • Support creation and maintenance of vector databases and knowledge repositories. • Implement semantic search capabilities across structured and unstructured data. 4. Model Evaluation & AI Quality Engineering • Conduct benchmarking and evaluation of GenAI solutions. • Develop automated tests for prompts, AI workflows, and agent behavior. • Measure response quality, latency, accuracy, and hallucination rates. • Support continuous improvement through testing and feedback mechanisms. 5. Cloud & AI Platform Fundamentals • Learn and contribute to cloud-native AI deployments. • Assist in building CI/CD pipelines for AI applications. • Monitor AI application performance and usage metrics. • Support deployment and testing of AI workloads in cloud environments. 6. Emerging AI Technologies • Explore evolving AI technologies and industry best practices. • Prototype solutions using open-source and commercial AI models. • Contribute to adoption of modern AI standards and protocols. • Stay current with advancements in AI agents, multimodal AI, and foundation models.