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Micron Technology

Makes memory and storage chips for AI and PCs

Senior Engineer - Machine Learning, Smai

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBoise, ID, USANo salary listedIn-person

About the Job

Requirements

  • A Master's degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 1 year of experience in the job offered or related occupation, or a Bachelor's degree in one of these fields or a related field and 3 years of experience in the job offered or related occupation.
  • Experience with enterprise-grade end-to-end machine learning systems in cloud environments.
  • Knowledge of regression and classification algorithms, deep learning, reinforcement learning, and generative artificial intelligence.
  • Experience with event-driven pipelines using Pub/Sub, Solace, or Kafka.
  • Experience with Docker and Kubernetes.
  • Experience building ETL/ELT pipelines with Kubeflow, Dataflow, or Airflow.
  • Proficiency in SQL.
  • Experience developing RESTful APIs for machine learning models.
  • Experience with large language models, multimodal models, prompt engineering, and agentic systems.
  • Experience with retrieval-augmented generation and fine-tuning domain-specific models.
  • Experience with semiconductor manufacturing big data.

Responsibilities

  • Build and maintain data/solution pipeline engineering to provide robust and scalable data infrastructure for training and deploying machine learning models.
  • Analyze company datasets to identify patterns, trends, and insights that can improve machine learning model development.
  • Design, implement, and iterate on machine learning models to address business challenges and enhance product functionality.
  • Collaborate on data preprocessing and feature engineering to improve input data quality for machine learning models.
  • Design and optimize data structures in data management systems, including Snowflake, Google Cloud Platform, and Azure, to enable artificial intelligence and machine learning solutions.
  • Build custom software components and analytics applications.
  • Design and implement strategies for deploying machine learning models into production environments.
  • Select models that meet performance needs while minimizing compute costs.
  • Establish and maintain monitoring systems to track deployed model performance and support continuous improvement.
  • Create and maintain continuous integration and continuous delivery pipelines for machine learning solutions in cloud environments.
  • Collaborate with Product and Engineering teams to identify opportunities to integrate generative artificial intelligence into project solutions and platforms.
  • Collaborate with the Product team to design a tactical roadmap for adopting generative artificial intelligence technologies, paradigms, and frameworks in line with organizational best practices.
  • Design, develop, and deploy enterprise-grade applications using generative artificial intelligence technologies, including large language models, multimodal architectures, and prompt engineering.
  • Fine-tune pre-trained models on domain-specific datasets, implement retrieval-augmented generation for knowledge grounding, and build agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs.

About the Company

Micron Technology

Makes memory and storage chips for AI and PCs

Micron Technology designs and manufactures memory and storage chips, mainly DRAM and NAND flash, used in data centers, PCs, phones, cars and industrial equipment. It is one of only three companies that make HBM, the stacked high-bandwidth memory placed beside processors in AI servers, and it is the largest memory chipmaker based in the United States. Unlike chip designers that outsource production, Micron runs its own fabs and assembly sites in the United States and across Asia. It earns money by selling chips, memory modules and solid-state drives to cloud providers, device makers and distributors. Micron was founded in 1978 and is headquartered in Boise, Idaho.

Company size
10,001+
Company stage
IPO
Headquarters
Boise, ID
Founded
1978

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