Micron is a global leader in memory and storage, powering AI and compute-intensive applications from cloud to edge with innovative semiconductor solutions.
About the role
We are looking for an experienced data scientist to lead complex yield analytics and machine learning projects. You will work with engineering partners to define problems, build and deploy models into production, and measure their impact on yield and cost. As a senior member of the team, you will also set technical direction, review others' work and mentor junior data scientists. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Work with yield and process engineering to find root causes of yield loss and excursions, using wafer, die, inline metrology, defect, equipment (FDC) and electrical test data
- Apply GenAI and agentic AI. Explore and deliver LLM- and agent-based tools that speed up engineering analysis, root-cause investigation and knowledge reuse
- Communicate impact. Present findings and recommendations clearly to engineers and senior management, and quantify their business value
- Degree in Data Science, Computer Science, Statistics, Electrical Engineering, Physics, Materials Science or a related field
- 5+ years of hands-on experience applying data science or machine learning to real-world problems
- Solid foundation in statistics, experimental design and machine learning
More about this role
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 & AI (SMAI) team uses data science, machine learning and AI to improve yield in Micron's front-end memory fabs. We work closely with yield, process, integration and equipment engineers on DRAM, NAND and HBM technologies. Our job is to turn huge amounts of fab data into decisions that raise yield, speed up learning on new technology nodes and reduce manufacturing cost.
We are a global team spanning Taiwan, Singapore, Japan and the US.
We are looking for an experienced data scientist to lead complex yield analytics and machine learning projects. You will work with engineering partners to define problems, build and deploy models into production, and measure their impact on yield and cost. As a senior member of the team, you will also set technical direction, review others' work and mentor junior data scientists.
What you will do
- Work with yield and process...
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