Sandisk is hiring a Senior Staff data science engineer

We are seeking a Senior Staff AI/ML Engineer to lead the design, development, and deployment of advanced AI/ML and Generative AI solutions that drive innovation across our engineering, manufacturing, and business operations. This role requires deep expertise in machine learning engineering, data science methodologies, and large-scale AI systems, combined with strong domain intuition in semiconductor/NAND environments. You will operate at the intersection of data, models, and real-world systems, translating complex, high-impact problems into scalable AI solutions. Key Responsibilities AI/ML, Data Science & Domain Integration - Develop advanced machine learning, statistical, and optimization models to solve complex business and engineering problems - Apply end-to-end data science rigor: problem framing, feature engineering, modeling, validation, and impact measurement - Work with large-scale datasets (e.g., process, yield, test, operational data) to derive actionable insights - Integrate domain knowledge (semiconductor/NAND processes, constraints, variability) directly into model design and interpretation Generative AI & Intelligent Systems - Design and deploy GenAI solutions (LLMs, RAG pipelines, agent-based systems) for engineering and operational use cases - Build knowledge-driven systems leveraging enterprise data (documents, logs, process data) - Develop evaluation frameworks to ensure quality, grounding, and reliability of GenAI outputs - Apply GenAI to enable decision support, automation, and productivity at scale End-to-End System Architecture - Architect production-grade AI/ML systems, including: - Data pipelines and feature engineering frameworks - Model training and experimentation platforms - Real-time and batch inference systems - Design systems that balance accuracy, scalability, latency, and cost efficiency - Establish patterns for integrating AI into existing enterprise platforms and workflows MLOps & Production Excellence - Build and scale MLOps pipelines (CI/CD, model registry, monitoring, drift detection) - Ensure reproducibility, observability, and governance of AI systems - Lead efforts to operationalize models into reliable, maintainable production systems Collaboration & Mentorship - Partner with cross-functional teams (engineering, manufacturing, product, IT) to translate requirements into solutions - Mentor engineers and data scientists in advanced modeling, system design, and GenAI capabilities