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 ResponsibilitiesAI/ML, Data Science & Domain IntegrationDevelop advanced machine learning, statistical, and optimization models to solve complex business and engineering problemsApply end-to-end data science rigor: problem framing, feature engineering, modeling, validation, and impact measurementWork with large-scale datasets (e.g., process, yield, test, operational data) to derive actionable insightsIntegrate domain knowledge (semiconductor/NAND processes, constraints, variability) directly into model design and interpretationGenerative AI & Intelligent SystemsDesign and deploy GenAI solutions (LLMs, RAG pipelines, agent-based systems) for engineering and operational use casesBuild knowledge-driven systems leveraging enterprise data (documents, logs, process data)Develop evaluation frameworks to ensure quality, grounding, and reliability of GenAI outputsApply GenAI to enable decision support, automation, and productivity at scaleEnd-to-End System ArchitectureArchitect production-grade AI/ML systems, including:Data pipelines and feature engineering frameworksModel training and experimentation platformsReal-time and batch inference systemsDesign systems that balance accuracy, scalability, latency, and cost efficiencyEstablish patterns for integrating AI into existing enterprise platforms and workflowsMLOps & Production ExcellenceBuild and scale MLOps pipelines (CI/CD, model registry, monitoring, drift detection)Ensure reproducibility, observability, and governance of AI systemsLead efforts to operationalize models into reliable, maintainable production systemsCollaboration & MentorshipPartner with cross-functional teams (engineering, manufacturing, product, IT) to translate requirements into solutionsMentor engineers and data scientists in advanced modeling, system design, and GenAI capabilities
