Jobs
Benefits & Perks
•Healthcare
•Parental Leave
•Paid Time Off
•Healthcare
•Parental Leave
Required Skills
Python
R
SQL
Machine learning
Statistical modeling
Data analysis
Our vision is to transform how the world uses information to enrich life for all.
Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing.
Project Description:
This project focuses on applying data science, machine learning, and statistical modeling to large and diverse datasets generated from highly automated semiconductor manufacturing operations. The intern will work closely with data scientists and engineers to extract, process, and analyze terabytes to petabytes of structured and unstructured data.
Objective of the Project:
- Develop analytical and machine learning models to improve manufacturing performance and operational efficiency
- Build data pipelines for extraction, cleansing, outlier detection, and anomaly identification
- Apply supervised, unsupervised, and semi-supervised learning techniques on real production datasets
- Support digital transformation and automation efforts in a manufacturing environment
Opportunities to be Offered for Full-Time Employment:
Interns demonstrating strong analytical capability, initiative, and technical performance may be considered for full-time roles in:
- Data Scientist
- Machine Learning Engineer
- Data Engineer
- Smart Manufacturing and Analytics Engineer
Project Scope:
- Extract and manipulate data using SQL and large-scale query systems
- Clean and prepare data using statistical and programming techniques
- Build machine learning models using tools such as Python or R
- Work with distributed computing systems including Spark and Hadoop-based tools
- Support automation and analysis workflows for manufacturing datasets such as time-series and images
- Collaborate with multi-functional teams to translate technical findings into actionable insights
Learning Opportunities:
- Exposure to high‑volume semiconductor manufacturing data
- Hands-on experience with machine learning, deep learning, and data preparation workflows
- Familiarity with large-scale data platforms (Spark, Hadoop, Teradata)
- Experience with Manufacturing Execution Systems
- Opportunity to apply statistical modeling, feature extraction, and algorithm development
- Development of strong communication and problem-solving skills through cross-team collaboration
Deliverables:
- Completed data pipelines or analytical scripts
- Machine learning models or prototypes with documented performance metrics
- Clear and concise technical reports summarizing findings
- Dashboards, visualizations, or automated analytics tools where applicable
Impact of Project:
- Supports data-driven decision-making in manufacturing
- Improves production efficiency, yield, and process stability
- Enhances predictive capabilities for production anomalies and variations
- Contributes to long-term digital transformation and automation initiatives
Skillset Required:
- Strong interest in building a career in data science
- Knowledge in statistical modeling and machine learning
- Experience with Python or R
- Ability to write efficient and maintainable code
- Familiarity with SQL
- Interest or experience in distributed computing systems (Spark, Hadoop)
- Strong communication and documentation skills
Bonus Skills:
- Experience with time-series, image data, or semi-supervised learning
- Knowledge of JavaScript or data visualization (Tableau)
- Exposure to manufacturing systems or semiconductor processes
- Experience with Tensor Flow or other deep learning frameworks
Course of Interests:
- Mathematics
- Data Science
- Computer Science
- Physics
- Statistics
- Engineering programs with analytics emphasis
About Micron Technology, Inc.
We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all. With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience.
To learn more, please visit micron.com/careers
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_sgmicron.com
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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About Micron

Micron
PublicMicron Technology is a global leader in memory and storage solutions, manufacturing DRAM, NAND flash memory, and solid-state drives for computing, mobile, automotive, and data center applications.
10,001+
Employees
Boise
Headquarters
$100B
Valuation
Reviews
3.5
3 reviews
Work Life Balance
2.0
Compensation
4.0
Culture
2.0
Career
4.0
Management
1.5
Pros
Good learning opportunities
High salary/good pay
Multiple positions available
Cons
Poor work-life balance
Excessive overtime
Management disagreements
Salary Ranges
37 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Data Science Engineer
1 reports
$143,960
total / year
Base
$110,739
Stock
-
Bonus
-
$143,960
$143,960
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Offer Rate
25%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter/Phone Screen
3
Technical Interview
4
Final Round Interview
5
Offer
Common Questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
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