Micron Technology
Semiconductor
StaffMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Staff Machine Learning Engineer at Micron Technology. Skills: Machine Learning, Generative AI, MLOps, Data Pipelines. Analyze existing data sets. Identify patterns”
Industry & Context.
Address specific business challenges
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,
Applying for this Staff Machine Learning Engineer role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about Micron Technology?
Real rants from real employees. Read before you apply.