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 Senior Data Scientist (Smart Manufacturing and AI) at Micron, you will leverage advanced techniques from mathematics, statistics, and information technology to improve semiconductor product quality, yield, and productivity. You will develop predictive models, actionable insights, and AI-enabled solutions that address large-scale manufacturing and quality challenges involving die-level, wafer-level, test, and quality/customer-related data.
Your work will directly help prevent customer-impacting quality events, reduce escapes, accelerate root-cause analysis and corrective actions, detect distribution shifts in manufacturing and field signals, and enable intelligent automation across Micron’s global fabs, bridging factory learning with customer-facing product quality outcomes.
Responsibilities and Tasks
- Product Quality (PQ) Predictive Solutions:
- Build and productionize ML models (classification/regression) for product-quality prediction (e.g., escape prevention, failure-mode prediction, risk scoring) across manufacturing and post-manufacturing data.
- Develop anomaly and drift detection/monitoring (e.g., Isolation Forest, autoencoders/VAEs) to identify emerging quality signatures in fab, test, and field/customer signals.
- Apply text analytics (embeddings, clustering, classification, summarization) to quality narratives, customer feedback, FA notes, and engineering logs.
- Agentic AI Development:
- Design and implement multi-agent systems for PQ workflows, including automated root-cause analysis and process optimization.
- Implement tool-using capabilities, function calling, agent memory systems, and agent skills.
- Implement comprehensive monitoring, logging and observability for agentic systems.
- RAG-LLM Development:
- Identify potential data sources for RAG implementation.
- Develop advanced retrieval strategies including hybrid search, re-ranking, and contextual compression.
- Software Engineering and Productionalization:
- Develop robust, maintainable software and analytical pipelines suitable for high-volume manufacturing environments.
- Implement guardrails, hallucination detection, and output validation.
- Optimize system performance, latency, token and cost efficiency.
- Guide and mentor junior data scientists, driving best practices in code quality, system architecture and applied AI research.
- Clearly communicate analytical insights, model behavior, and trade-offs to both technical and non-technical customers to enable data-driven decisions.
- 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:
- Master's or Ph.D. in Computer Science, Data Science, Operations Research, Mathematics, or a related highly quantitative field.
- 5+ years of industry experience in Data Science, with a proven track record of developing and deploying machine learning and/or large language model solutions that solve complex business problems at scale.
- Or equivalent combination of education and experience.
- Technical Skills:
- Proficiency in Python and experience extracting and manipulating data using SQL.
- Hands-on experience with LLMs and agentic frameworks (e.g., Google ADK, or similar) including prompt engineering, retrieval-augmented generation (RAG), and tool/function calling.
- Experience building interactive data applications and APIs (e.g., Streamlit, FastAPI, Flask).
- Experience working in Agile/SDLC environments with version control (Git) and collaboration tools (JIRA, Confluence, etc.).
- 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 responsiblyand effectively for research, analysis, content creation, problem‑solving, operational tasks, and achieving business outcomes
Preferred Qualifications
- 2+ years building production LLM or agentic AI systems (multi-agent workflows, memory systems, orchestration, monitoring, guardrails).
- Exposure to manufacturing or process data (time-series, concept drift, high-dimensional sensor/test data, imbalanced labels).
- Familiarity with cloud ML platforms (Google Cloud Vertex AI) and containerization (Docker, Kubernetes).
- Experience with ETL/data integration tools and UI frameworks (e.g., Angular, React).
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.
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.
