Top AI & Machine Learning Jobs

Design and implement analytics, simulation, optimization, and digital twin solutions for semiconductor manufacturing. Develop software, models, and AI/LLM-enabled tools to analyze large unstructured data, optimize operations, and communicate insights to product and operations teams while driving global collaboration and continuous improvement.

The Senior Data Scientist will improve semiconductor quality through predictive models and AI solutions, mentor juniors, and communicate insights effectively.

Develop and deploy ML and agentic AI solutions to improve NAND yield, reliability, defectivity, and test time across NPI and HVM. Build end-to-end ML workflows on large structured semiconductor datasets, integrate AI agents with enterprise systems, collaborate with engineering and fab teams, and mentor Citizen Data Scientists to enable domain-relevant analytics and automation.

As a Computer Vision Engineer, you will develop image processing solutions, apply machine learning techniques, and collaborate on engineering projects to enhance manufacturing innovation.

As a Senior Data Scientist, you'll analyze large datasets using advanced mathematical and statistical methodologies to derive actionable insights and optimize semiconductor operations.

Serve as Product Owner for smart manufacturing AI initiatives to identify cost opportunities. Collaborate with data scientists, data engineers, and stakeholders to design, prioritize, implement, and measure AI/ML solutions that capture financial and operational value across procurement and front-end fabrication processes.

Lead design and deployment of physics-based, ML, and LLM-powered modeling and agentic AI systems for semiconductor process, packaging, and manufacturing workflows; architect integrations with design automation and fab/test platforms; benchmark and improve models; and translate results into actionable insights and visualizations.

As an AI Engineer, you will develop generative AI tools, automate processes, ensure AI system integration, and promote AI literacy across teams.

Lead AI-enabled cost transformation across procurement and manufacturing, build and operationalize a portfolio of AI/Generative AI use cases (spend, supplier, contract analytics), implement measurable savings and productivity improvements, embed solutions into workflows, manage cross-functional stakeholders, and scale data science and automation initiatives for value capture.

Lead AI strategy and emerging systems within Micron by evaluating innovative AI capabilities, architecting solutions, prototyping systems, and overseeing AI governance and value assessments.