Senior Machine Learning Engineer

Our vision is to transform how the world uses information to enrich life for all .
Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.
The Smart Manufacturing and AI team is building advanced machine learning capabilities that power Micron's manufacturing excellence. We work at the intersection of data, engineering, and innovation-solving complex problems and driving performance across a highly competitive industry. We embrace curiosity and speed, and we love pushing boundaries with real-world AI.
Welcome! This Sr. Machine Learning Engineer role is key to developing scalable AI/ML systems that unlock insights from Micron's rich data environment. You'll partner with data scientists, ML engineers, and product teams to design, deploy, and optimize end-to-end machine learning solutions in cloud environments. If you enjoy building robust pipelines, experimenting with models, and creating production-ready systems, this is a place where you'll grow and make an impact.
Responsibilities:

• Analyze complex manufacturing datasets to uncover patterns and inform model design
• Build and iterate machine learning models to solve targeted business and engineering challenges
• Develop and maintain scalable data and solution pipelines supporting training and deployment
• Deploy, monitor, and optimize ML pipelines and models in cloud environments
• Find opportunities to integrate Generative AI into platforms and products

Minimum Qualifications:

• Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a related field (or equivalent experience)
• 2+ years building and deploying end-to-end machine learning systems in cloud platforms (GCP or snowflake or AWS)
• 2+ Hands-on experience with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• 2+ Strong programming skills in Python or Java and proficiency in SQL
• 2+ Experience with Docker, Kubernetes, and event-driven pipelines using systems like Pub/Sub, Solace, or Kafka, GKE
• 2+ Experience developing ETL/ELT pipelines with Kubeflow, Dataflow, and/or Airflow, and/or NIFI
• 2+ Knowledge of NLP, prompt engineering, model evaluation, and LLM fine-tuning
• 2+ Working knowledge of databases such as BigQuery, Snowflake, MSSQL, or PostgreSQL

Preferred Qualifications:

• PhD or equivalent experience in a field related to AI or Machine Learning
• Experience building Generative AI solutions using frameworks such as ADK, LangChain/LangGraph, CrewAI, DsPy, or Semantic Kernel
• Experience developing RAG, GraphRAG, or semantic search systems
• Experience with computer vision, signal processing, or advanced ML algorithms

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits .
Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.
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To learn more about Micron, please visit micron.com/careers
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