Machine Learning Engineer

Overview

On Site
Full Time

Skills

Storage
Machine Learning Operations (ML Ops)
Data Management
Snow Flake Schema
Continuous Integration
Continuous Delivery
Continuous Improvement
Collaboration
Roadmaps
Predictive Analytics
Analytics
Computer Science
Data Science
Statistics
Mathematics
Training
Testing
Cloud Computing
TensorFlow
PyTorch
scikit-learn
Regression Analysis
Algorithms
Deep Learning
Generative Artificial Intelligence (AI)
Java
Machine Learning (ML)
Python
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Docker
Kubernetes
Extract
Transform
Load
Data Flow
Writing
SQL
Data Architecture
Data Structure
Semiconductors
Health Care
Budget
Recruiting
Artificial Intelligence
Fraud
Communication

Job Details

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 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 Engineering 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. 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. 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 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 organizations best practices. Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence. Communicate findings, insights, and recommendations to both technical and nontechnical stakeholders in a clear and accessible manner. May telecommute parttime.

Employer will accept a Bachelor's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 3 years of experience in the job offered or in an AI Engineer-related ccupation; Alternatively, employer will accept a Master's degree in Computer Science, Machine Learning, Data Science, Statistics, Mathematics, or related field and 1 year of experience in the job offered or in an AI Engineer-related occupation.

Position requires:

1. Building and executing end-to-end Machine Learning (ML) systems automating training, testing, and deploying ML models in cloud platforms;

2. Working with ML frameworks, including TensorFlow, PyTorch, scikit-learn;

3. Prediction (regression) and classification algorithms and deep learning, reinforcement learning and generative Artificial Intelligence (AI);

4. Programming skills in Python or Java;

5. Developing ML or AI solutions with either Python, AWS, AZURE, or Google Cloud Platform;

6. Using Docker, Kubernetes and containerization;

7. Using ETL to develop pipelines (Airflow/Kubeflow/Dataflow);

8. Writing and understanding SQL;

9. Data architecture, including data structures or data schemas.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits.

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

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To learn more about Micron, please visit micron.com/careers

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at or 1- (select option #3)

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

Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification.

Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.
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