Micron Technology

Semiconductor

StaffMachineLearningEngineer

$215–315k ~AI est. Boise, Idaho, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Staff Machine Learning Engineer at Micron Technology. Skills: Machine Learning, Generative AI, MLOps, Data Pipelines. Analyze existing data sets. Identify patterns”

Industry & Context.

Semiconductor
Problems you'll solve

Address specific business challenges

Eligibility Requirements

May telecommute part-time

What They're Looking For.

Must Have

Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or related field, 3 years of experience in the job offered or in a related occupation, Building and executing end to end ML systems, TensorFlow, PyTorch, and scikit learn, Prediction (regression) and classification deep learning, reinforcement learning, and generative AI, Python or Java, Pub/Sub, Solace, or Kafka, Developing ML/AI solutions in GCP, Azure, or AWS, Docker and Kubernetes, Developing ETL/ELT pipelines using Kubeflow, Dataflow, or Airflow, SQL, Data structures and schemas, APIs to expose trained machine learning models for consumption, Building enterprise-grade applications using Generative AI technologies, Retrieval-Augmented Generation (RAG) for knowledge grounding and fine-tuning pre-trained models on domain-specific datasets, Designing and implementing agentic systems that orchestrate autonomous workflows and integrate with APIs

Nice to Have

PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified

What You'll Do.

Analyze existing data sets

Design machine learning models

Implement machine learning models

Iterate on machine learning models

Build knowledge in ML and AI

Integrate new techniques and technologies

Build Data/Solution Pipeline

Maintain Data/Solution Pipeline

Ensure robust data infrastructure

Ensure scalable data infrastructure

Support training of ML models

Support deployment of ML models

Collaborate on data preprocessing

Collaborate on feature engineering

Enhance quality of input data

Build custom software components

Build analytics applications

Create CI/CD pipelines

Maintain CI/CD pipelines

Implement strategies for deploying ML models

Select the best model

Minimize compute costs

Establish monitoring systems

Maintain monitoring systems

Track performance of deployed models

Facilitate continuous improvement

Collaborate with Product and Engineering teams

Identify opportunities for integrating ML

Identify opportunities for integrating Generative AI

Integrate capabilities into Project solutions

Integrate capabilities into Project platform

Collaborate with the Product team

Design a Tactical roadmap

Adopt machine learning technologies

Adopt machine learning paradigms

Adopt machine learning frameworks

Follow organizational best practices

Work in a technical team

Develop applied analytics

Develop predictive analytics

Develop prescriptive analytics

Build enterprise-grade applications

Leverage Generative AI technologies

Fine-tune pre-trained models

Implement retrieval-augmented generation (RAG)

Build agentic systems

Orchestrate autonomous workflows

Integrate with domain-specific APIs

How You'll Work.

Team & Collaboration

Product and Engineering teams; Product team; Technical team

Process & Methodology

Roadmap planning

Full Job 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. Analyze existing 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. Build knowledge by keeping up with the latest advancements in machine learning and artificial intelligence (AI), integrating new techniques and technologies into our MLOPS development process. Build and maintain Data/Solution Pipeline to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models. Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models. Build custom software components and analytics applications. Create/Maintain CI/CD pipelines of machine learning solutions in the cloud environment. Implement strategies for deploying machine learning models into production environments. Responsible for selecting the 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. Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform. Collaborate with the Product team to design a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following organizational best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics,

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