Staff Machine Learning Engineer

• Analyze large datasets to uncover patterns, trends, and insights that inform and improve machine learning models.
• Design, build, and continuously refine ML models to address business challenges and enhance product capabilities.
• Stay ahead of advancements in AI/ML and integrate emerging techniques into the MLOps lifecycle.
• Build and maintain robust, scalable data pipelines and infrastructure to support model training and deployment.
• Collaborate on data preprocessing and feature engineering to improve input data quality and model performance.
• Design and optimize data architectures across cloud platforms (Snowflake, GCP, Azure) for AI/ML use cases.
• Develop custom applications and implement CI/CD pipelines to support efficient ML solution deployment.
• Deploy, evaluate, and monitor models in production, balancing performance with cost efficiency and enabling continuous improvement.
• Partner with Product and Engineering teams to define and execute Generative AI integration strategies and roadmaps.
• Communicate insights and collaborate multi-functionally, translating complex analytics into actionable recommendations for diverse collaborators.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!

Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems., * Master’s degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and Machine Learning with 3+ years building end-to-end ML systems on cloud platforms, automating model training, testing, and deployment.

• Strong experience with ML frameworks (TensorFlow, PyTorch, scikit-learn) and core techniques including regression, classification, deep learning, reinforcement learning, and generative AI.
• Proficient in Python or Java, with experience developing APIs and event-driven pipelines using Kafka, Pub/Sub, or similar messaging systems.
• Skilled in scalable data engineering, including ETL/ELT pipelines (Kubeflow, Airflow, Dataflow), SQL, and data architecture design.
• Hands-on experience with cloud and DevOps tools (GCP, AWS, Azure, Docker, Kubernetes), combined with strong analytical, communication, and collaboration skills., * Strong foundation in machine learning and deep learning, with solid grounding in probability and statistics.
• Proven ability to productionize data science prototypes into scalable, real-world solutions.
• Hands-on experience building Generative AI solutions and intelligent agents (LangChain/LangGraph, CrewAI, DsPy, Semantic Kernel, ADK).
• Expertise in semantic search and retrieval systems, including RAG, GraphRAG, NLP, prompt engineering, and LLM fine-tuning/evaluation.
• Experience with end-to-end data and engineering workflows: ETL pipelines, big data processing, databases (BigQuery, Snowflake, MSSQL, PostgreSQL), and CI/CD tools (Git, Docker, Kubernetes, Jenkins).

Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards.