Micron Folsom · Singapore
Data & AI
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.
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.
As a Data Scientist (Smart Manufacturing & AI) at Micron, you will develop data-driven solutions that improve semiconductor manufacturing yield, quality, and productivity. Working alongside senior data scientists and product owners, you will build predictive models, develop AI-powered solutions, and contribute to analytical pipelines that solve real-world manufacturing challenges involving die-level, wafer-level, and test data.
Responsibilities and Tasks
Test Solutions Engineering (TSE) Predictive Solutions: Build and productionize machine learning models (classification and regression) to support predictive and prescriptive analytics across semiconductor test and manufacturing processes.
Agentic AI and LLM Development:
Contribute to the design and implementation of multi-agent systems for TSE workflows, including code generation, automated troubleshooting, and process optimization.
Work with retrieval-augmented generation (RAG) pipelines: identify data sources, develop retrieval strategies, and improve context quality for LLM-based applications.
Assist in implementing tool-using capabilities, function calling, and agent memory systems.
Software Engineering and Productionalization:
Develop maintainable code and analytical pipelines suitable for high-volume manufacturing environments.
Optimize for performance, latency, and token efficiency.
Collaborate with senior team members on testing, deployment, and monitoring.
Communicate analytical insights, model behavior, and results clearly to technical and non-technical stakeholders
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness,exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.
Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work.
Required Qualifications & Skills
Education/Experience:
Bachelor's in Computer Science, Data Science, Operations Research, Mathematics, or equivalent.
Strong desire to grow a career as a Data Scientist in advanced, highly automated industrial manufacturing.
Technical Skills:
Proficiency in Python for data analysis and modeling.
Solid foundation in statistics and/or machine learning (supervised/unsupervised learning, model evaluation, feature engineering).
Experience with SQL for data extraction and manipulation.
Experience with version control (Git).
Familiarity with building interactive data applications or dashboards (e.g., Streamlit, PowerBI, or similar).
Strong verbal and written communication skills, with the ability to explain complex analytical results clearly.
Ability to apply baseline digital fluency and role‑appropriate AI literacy to use AI‑enabled tools responsibly and effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes.
Preferred Qualifications
Exposure to LLMs, agentic AI frameworks, or RAG pipelines (internship experience, academic or personal projects welcome).
Experience with time-series data, process/manufacturing data, or handling concept drift/imbalanced datasets.
Familiarity with cloud platforms (Google Cloud Platform, AWS, or Azure) and data visualization tools (Tableau, Power BI).
Exposure to ETL tools, containerization (Docker), or web frameworks (Angular, React, FastAPI).
Coursework or projects involving optimization, mathematical programming, or statistical modeling.
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_sg@micron.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.
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