Senior Applied AI Engineer (Semiconductor Manufacturing)

As a Senior Applied AI Engineer at Micron you will apply advanced techniques and theories from mathematics statistics semiconductor physics materials science and information technology to uncover meaningful patterns in complex datadeveloping predictive models actionable insights and scalable solutions that drive business impact.

You will partner with experienced Data Scientists Data Engineers Business Area Engineers and UX teams to identify key questions and opportunities for data analysis tool improvement and new solution this role you will design and build software programs algorithms and automated processes to cleanse integrate and evaluate large datasets from multiple disparate sources. You will also have significant opportunities to lead exploratory research and develop innovative AI-driven solutions from the ground up.

Responsibilities

• Develop and deploy AI/ML solutions to support semiconductor product development validation yield optimization and manufacturing efficiency.

• Design code and maintain software programs algorithms and automated pipelines to cleanse integrate and analyze large unstructured datasets from multiple disparate sources.

• Collaborate cross-functionally with subject matter experts across engineering product and service teams to understand domain challenges and translate them into data science solutions.

• Identify and communicate actionable insights from large data and metadata sources to product service and business stakeholders through clear analysis visualization and presentation.

• Drive exploratory research and innovation staying current on the latest advancements in AI machine learning and data science and applying them to solve complex semiconductor problems.

• Support and improve existing tools and workflows by identifying opportunities for automation optimization and enhanced analytics.

Minimum Qualifications

• Bachelors degree in Engineering Mathematics Computer Science Data Science Physics or a related field with 5 years of relevant experience; OR a Masters degree with 2 years of experience; OR a PhD with relevant academic or industry experience in data science and/or the semiconductor industry.

• Demonstrated track record of building and launching end-to-end data science solutions including data engineering machine learning algorithm development UI/UX integration and ML Ops.

• Proficiency in programming languages such as Python or R for data analysis modeling and automation.

• Strong communication skills excellent written and verbal English-language communication and presentation abilities with the capacity to convey technical findings to both technical and non-technical audiences.

Preferred Qualifications

• Semiconductor industry experience is strongly preferred; experience in the memory sector is highly desirable.

• Expertise with Large Language Models (LLMs) including fine-tuning prompt engineering retrieval-augmented generation (RAG) and evaluation of model performance.

• Familiarity with agentic AI systems designing deploying or integrating autonomous agents capable of reasoning planning and executing tasks across complex workflows.

• Strong interpersonal skills with a collaborative mindset a passion for teaching others about data science and a continuous drive to learn and adopt new techniques and technologies.