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# Sr Engineer, ML, SMAI

- **Company:** Micron Semiconductor Products
- **Location:** Boise, ID, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Microsoft Azure, Cloud Computing, Data Infrastructure, Extract Transform Load (ETL), Data Structures, Data Flow Control, Monitoring of Systems, Machine Learning, Microsoft SQL Server, Reinforcement Learning, Google Cloud, Cloud Platform System, Feature Engineering, Large Language Models, Snowflake, Prompt Engineering, Deep Learning, Generative AI, Kubernetes, Information Technology, Apache Kafka, Data Management, Machine Learning Operations, Api Design, Restful APIs, Docker
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/2ae505c9-1347-4a39-b0f7-b9d89a1d543b

## About the Role

Employer will accept 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. Alternatively, employer will accept a Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, Industrial Engineering, or a related field and 3 year of experience in the job offered or related occupation.

Position requires:

 1. Enterprise-grade end-to-end machine learning systems in cloud environments

 2. Regression and classification algorithms, deep learning, reinforcement learning, and generative AI

 3. Event-driven pipelines using Pub/Sub, Solace, or Kafka

 4. Docker and Kubernetes

 5. ETL/ELT pipelines with Kubeflow, Dataflow, or Airflow

 6. SQL

 7. API development (RESTful APIs) for machine learning models

 8. LLMs, multimodal models, prompt engineering, and agentic systems

## Description

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.

Build and maintain Data/Solution Pipeline Engineering to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Analyze existing Micron data sets to identify patterns, trends, and insights that can enhance machine learning model development. Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Design and optimize data structures in data management systems (Cloud platforms - Snowflake, Google Cloud Platform, Azure) to enable AI/ML solutions. Build custom software components and analytics applications. Design & Implement strategies for deploying machine learning models into production environments. Responsible for selecting best model to meet both model performance and minimize compute costs. Establish and maintain monitoring
systems to track the performance of deployed models and facilitate continuous improvement. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Collaborate with the Product and Engineering teams to identify opportunities for integrating Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of Generative AI Technologies, paradigms & frameworks following organizational best practices. Design, develop, and deploy enterprise-grade applications leveraging Generative AI technologies, including large language models (LLMs), multimodal architectures, and advanced prompt engineering. Responsibilities include fine-tuning pre-trained models on domain-specific datasets, implementing retrieval-augmented generation (RAG) for knowledge grounding, and building agentic systems that orchestrate autonomous workflows and integrate with domain-specific APIs.