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Machine Learning Engineer

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.

The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious Machine Learning Engineer. Are you curious, high velocity, and ready to solve complex problems? Do you dream in data science and machine learning models? If so, we want you to join us!

Our mission is to enable to deliver industry-winning machine learning solutions to power Micron’s dominance in the highly competitive memory solutions market. Qualified applicants will have experience in a variety of data and cloud technologies and have extensive practice modeling data, querying, and deploying scalable pipelines to execute machine learning models. You will collaborate with Data Scientists, ML Engineers, Data Engineers, and expert users to build and deploy scalable AI/ML solutions that drive value and insight from Micron’s manufacturing processes and systems.

Responsibilities include, but not limited to: 

Data Analysis and Modeling

  • 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.

  • 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.

Data infrastructure

  • 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, GCP, Azure) to enable AI/ML solutions. 

Model Deployment and Monitoring

  • 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.

Generative AI Integration Strategy

  • Collaborate with the Product and Engineering teams to find opportunities for integrating machine learning and Generative artificial intelligence capabilities into Project solutions/platform.

  • Collaborate with the Product team to craft a Tactical roadmap for the adoption of machine learning technologies, paradigms & frameworks following standard methodologies.

Communication

  • Work in a technical team through development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics using machine learning and artificial intelligence.  

  • Convey findings, insights, and recommendations to both technical and non-technical customers in a clear and accessible manner.

Education Qualifications: 

  • Master's degree in Computer Science, Machine Learning, Data Science, Statistics, or a field closely related to AI and ML.  Ph.D. preferred.

Minimum Qualifications: 

  • 2+ years of experience in building and executing end-to-end ML systems automating training, testing, and deploying Machine Learning models in cloud platforms.

  • 2+ years of experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn, etc.)  

  • Solid understanding of prediction (regression) and classification algorithms and familiarity with deep learning, reinforcement learning and generative AI.

  • Strong programming skills in one of the following, Python or Java 

  • Experience developing Machine Learning or Artifical Intelligence solutions with either Python, AWS, AZURE, GCP  

  • Experience using Docker, Kubernetes and containerization.

  • Experience using ETL to develop pipelines (Airflow/Kubeflow/Dataflow)

  • Intermediate proficiency with writing and understanding SQL.

  • Familiarity with Data architecture (data structures, data schemas, etc.).  

  • Outstanding analytical thinking, interpersonal, oral, and written

  • Ability to prioritize and meet critical project timelines in a fast-paced environment.  

  • Self-motivated and team-oriented  

Preferred Qualifications: 

  • Deep knowledge of math, probability, statistics, and algorithms  

  • Demonstrated ability to study and transform data science prototypes into production solutions.

  • Understanding of Prompt Engineering, NLP, RAG Fine-Tuning using one or more of Langchain, DsPy, Semantic Kernel, Tensorflow, and Pytorch.

  • Knowledge of computer vision and/or signal processing including techniques for classification and feature extraction 

  • Experience with continuous integration/continuous delivery (CI/CD) tools (Jenkins, Git, Docker, Kubernetes)  

  • 2+ years of strong working knowledge of databases (Oracle, MSSQL, Snowflake, or BigQuery)   

  • 2+ years building scalable ETL pipelines with big data processing and/or developing applications and data sources.  

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.

To learn about your right to work click here.

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  hrsupport_na@micron.com or 1-800-336-8918 (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.

Average salary estimate

$105000 / YEARLY (est.)
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$80000K
$130000K

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What You Should Know About Machine Learning Engineer, MICRON TECHNOLOGY

At Micron Technology, we're on a mission to reshape the way information is transformed into intelligence. Located in Boise, Idaho, we're looking for a driven Machine Learning Engineer to join our Smart Manufacturing and AI team. If you're someone who thrives on data science and machine learning challenges, we want to hear from you! In this role, you'll dive deep into Micron's data to uncover patterns and design innovative machine learning models that tackle real business problems. Your collaboration with Data Scientists and ML Engineers will be vital in deploying scalable AI solutions that enhance our manufacturing processes. You'll also be tasked with building and maintaining robust data pipelines that facilitate the training and deployment of these models. If you have a Master's degree in fields like Computer Science or Data Science and 2+ years of practical experience in cloud platforms and machine learning frameworks, you're likely a great fit. We're particularly interested in candidates who are skilled in Python or Java and have experience with ETL pipelines as well as CI/CD processes. The environment is dynamic, and your agility in adapting to rapid changes will be key. At Micron, we not only prioritize innovation but also your professional growth and well-being, offering a comprehensive range of benefits that reflect that commitment. Ready to make a difference? Join us at Micron Technology!

Frequently Asked Questions (FAQs) for Machine Learning Engineer Role at MICRON TECHNOLOGY
What are the primary responsibilities of a Machine Learning Engineer at Micron Technology?

As a Machine Learning Engineer at Micron Technology, your primary responsibilities will center around developing and deploying machine learning models that improve our manufacturing processes. You will analyze existing data sets to uncover trends and insights, design scalable ML solutions, and build robust data pipelines for effective data management. Collaboration is key, as you will work alongside Data Scientists and ML Engineers to implement and optimize AI solutions. Expect to engage with cutting-edge technologies and continuously refine your approaches to ensure they align with industry best practices.

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What qualifications are necessary to become a Machine Learning Engineer at Micron Technology?

To qualify for the Machine Learning Engineer position at Micron Technology, candidates should possess a Master's degree in Computer Science, Machine Learning, Data Science, or a related field; a Ph.D. is preferred. Additionally, a minimum of 2 years of hands-on experience in building and deploying machine learning models on cloud platforms is essential. Proficiency in machine learning frameworks such as TensorFlow or PyTorch, along with strong programming skills in Python or Java, is crucial. Familiarity with data architecture and ETL processes further enriches a candidate's technical profile.

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How does Micron Technology support the career growth of its Machine Learning Engineers?

Micron Technology is deeply committed to the professional development of its Machine Learning Engineers. The company provides various resources for continuous learning, including access to the latest tools and technologies in machine learning and artificial intelligence. Regular training sessions and workshops are organized to help employees advance their technical skills and stay updated with industry trends. Additionally, there are ample opportunities for cross-functional collaboration, allowing engineers to broaden their expertise and contribute to exciting projects across the organization.

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What types of technologies will a Machine Learning Engineer use at Micron Technology?

A Machine Learning Engineer at Micron Technology will work with a variety of advanced technologies and frameworks designed to enhance AI and data solutions. Key technologies include machine learning frameworks like TensorFlow and PyTorch, cloud platforms such as GCP, Azure, and Snowflake, as well as tools for data processing and workflows such as Airflow or Kubeflow. Familiarity with Docker and Kubernetes for containerization is also important. This diverse tech stack allows engineers to develop, deploy, and monitor scalable machine learning solutions effectively.

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What is the work environment like for Machine Learning Engineers at Micron Technology?

The work environment for Machine Learning Engineers at Micron Technology is dynamic and collaborative. Engineers are encouraged to bring innovative ideas to the table and work closely with cross-functional teams, including Data Scientists and product teams, to push the boundaries of what's possible with machine learning. Micron fosters a culture of learning and agility, making it essential for team members to adapt quickly to changing demands. Importantly, Micron values work-life balance and provides a supportive atmosphere that prioritizes employee well-being.

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Common Interview Questions for Machine Learning Engineer
Can you describe a machine learning project you've worked on?

When answering this question, focus on your role in the project, the specific challenges you faced, and the outcomes you achieved. Highlight the technologies and tools you used, the data processing methods applied, and the importance of collaboration in achieving success. This not only demonstrates your technical expertise but also your ability to work within a team.

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What machine learning framework do you prefer and why?

In your response, discuss your familiarity with various frameworks such as TensorFlow or PyTorch. Mention the specific projects or tasks that have influenced your preference, including factors like ease of use, community support, and scalability. Additionally, convey your openness to learning new frameworks as necessary for the job at Micron Technology.

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How do you approach data preprocessing for machine learning?

Detail your methodology for data preprocessing, which could include cleaning data, handling missing values, and feature engineering. Explain the importance of quality input data and how it affects model performance. Share any specific techniques or tools you've used, showcasing your thorough understanding and practical experience in this area.

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What strategies do you use for deploying machine learning models?

Discuss your experience with CI/CD processes and how you ensure smooth deployment of models into production. Highlight any tools you've utilized, such as Docker or Kubernetes, and how they aid in model scalability and reliability. Your ability to articulate a clear strategy for deployment is crucial for this role at Micron.

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Can you explain the concept of overfitting in machine learning?

Provide a clear definition of overfitting and illustrate it with an example. Discuss techniques you employ to avoid overfitting, such as cross-validation, regularization, or simplifying the model. This shows your understanding of maintaining model performance and accuracy.

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What experience do you have with cloud platforms for machine learning?

Talk about your hands-on experience with various cloud platforms like GCP, AWS, or Azure. Describe how you used these platforms for deploying ML models and managing data, emphasizing efficiency and scalability. This will directly align with the needs of the Machine Learning Engineer role at Micron Technology.

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How do you stay updated with advancements in machine learning?

Share your methods for keeping up with the rapidly evolving field of machine learning, such as attending workshops, participating in online courses, reading research papers, or engaging in community forums. This demonstrates your commitment to professional growth and innovation.

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What is your process for model evaluation and performance tracking?

Elaborate on how you evaluate model performance using metrics like accuracy, precision, recall, and F1 score. Discuss your approach to model monitoring post-deployment to ensure it continues to perform optimally. This is crucial to Micron's focus on delivering high-quality AI solutions.

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How do you handle data privacy and security in machine learning?

Address the importance of data privacy and security in your work. Discuss specific strategies or frameworks you follow to ensure compliance with regulations and protect sensitive data during the modeling process. This is essential for any responsible Machine Learning Engineer.

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Why do you want to work as a Machine Learning Engineer at Micron Technology?

This is your chance to express your passion for the role and the company. Talk about your alignment with Micron's vision, your enthusiasm for working on impactful projects, and how your skills and values harmonize with the organization’s mission. Personalize this response to make a strong connection.

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DATE POSTED
April 3, 2025

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