Top AI & Machine Learning Jobs

Analyze semiconductor manufacturing data to identify anomalies and improve yield; develop computer vision solutions for inspection and defect detection; build and productionize predictive models and analytical pipelines; apply generative AI, LLMs, and agentic AI to automate engineering tasks; collaborate cross-functionally, communicate insights, and mentor junior data scientists.

Manage and develop a data science team delivering production-ready analytics, machine learning models, AI tools, and what-if analyses for semiconductor manufacturing. Lead model validation, governance, monitoring, and stakeholder delivery across yield, quality, equipment efficiency, and labor productivity initiatives. Drive adoption of Generative AI, LLMs, AI agents, and emerging interoperability standards while mentoring staff, managing resources, and aligning team objectives with corporate strategy.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Design, build, deploy, and support end-to-end AI solutions for manufacturing: data pipelines, feature engineering, model training/inference, APIs, web UIs, containerized deployments, LLM/RAG integrations, MLOps/CI-CD, monitoring, and integration with robotics, MES, and automation systems to improve operational decision-making.

Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.

Develop and deploy optimization, simulation, and ML models to improve semiconductor factory capacity, throughput, and cycle time. Partner with cross-functional manufacturing and engineering teams to analyze constraints, run scenario analyses, and deliver data-driven recommendations integrated into production pipelines and decision-support tools.

Lead cross-functional projects to develop Smart Manufacturing solutions using AI/ML and BI to improve wafer output, run rate, equipment uptime, and process harmonization. Gather requirements, prepare data, collaborate with data scientists to build models, develop user-facing applications, integrate with systems, scale global solutions, and measure performance improvements.

Manage the lifecycle of AI platforms at Micron, including deployment, cost management, and incident response. Lead a team to optimize AI services and ensure compliance with responsible AI practices.

Develop and deploy AI/ML and analytics solutions for Facilities Mechanical systems (HVAC, chillers, boilers, CDA, cleanroom air). Build predictive maintenance models, dashboards, digital twins, and automation to improve reliability, energy efficiency, and operational decision-making. Collaborate with controls, IT, and operations to integrate SCADA/BMS/PLC data, ensure data quality and governance, and drive digitalization of maintenance workflows while supporting change management in a 24/7 fab environment.

Develop and validate process, structure, and materials models using numerical methods and machine learning to enable predictive and prescriptive analytics for memory development and manufacturing. Implement and code multi-physics and process models, analyze results, present findings, and collaborate with cross-functional teams to drive decision support and automation.