Principal/Staff ML/AI Engineer, Product Engineering, STPG

Micron Technology
Singapore
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: mastersSkills: ["Problem-solving","Analytical thinking","Communication","Cross-functional collaboration","Mentoring"]

Develop AI/ML solutions for semiconductor production workflows, building predictive models for yield, test time, and reliability using structured data. Create agentic AI applications to automate engineering tasks such as validation and reporting, integrating with enterprise tools and internal systems. Partner with cross-functional teams to structure high-volume wafer/probe data and support production deployment with MLOps and scalable inference. Mentor Citizen Data Scientists to apply advanced techniques effectively.

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FursaFursa
Micron Technology
Micron Technology
3 months ago

Principal/Staff ML/AI Engineer, Product Engineering, STPG

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Develop AI/ML solutions for semiconductor production workflows, building predictive models for yield, test time, and reliability using structured data. Create agentic AI applications to automate engineering tasks such as validation and reporting, integrating with enterprise tools and internal systems. Partner with cross-functional teams to structure high-volume wafer/probe data and support production deployment with MLOps and scalable inference. Mentor Citizen Data Scientists to apply advanced techniques effectively.
Location: Singapore
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build predictive machine learning models for semiconductor yield, test time, and reliability using structured/tabular data.
  • •Develop agentic AI solutions to automate engineering tasks such as test program validation, yield analysis, and report generation.
  • •Integrate AI agents with enterprise tools (JIRA, Confluence, SharePoint) and internal systems.
  • •Work with cross-functional teams to access, clean, and structure high-volume probe and wafer fabrication inline data for ML/AI applications.
  • •Guide and upskill Citizen Data Scientists by creating learning paths, training modules, and ongoing mentorship within Product Engineering.

Key Requirements

  • •Bachelor’s or Master’s degree in Computer Science, Electrical/Electronic Engineering, Data Science, or related field with at least 5 years of ML/AI development and implementation experience.
  • •PhD in a related field with at least 3 years of practical experience applying ML/AI (or a combination of research and industry involvement).
  • •Strong proficiency in Python and data processing libraries such as Pandas, NumPy, and Scikit-learn.
  • •Experience building and evaluating ML models for predictive analytics using structured data (e.g., regression, tree-based models, gradient boosting).
  • •Experience with ML frameworks for unstructured data and knowledge of MLOps/production inference workflows; exposure to agentic AI/LLM integration is required.
Experience:5+ yearsSemiconductorsManufacturing analyticsMachine learningMLOpsAgentic AI
Education:Master's in Computer Science, Electrical/Electronic Engineering, Data Science, or a related field
Skills:Problem-solvingAnalytical thinkingCommunicationCross-functional collaborationMentoring
Tech Stack:PythonPandasNumPyScikit-learnTensorFlowPyTorchLangChainMicrosoft Copilot StudioJIRAConfluenceSharePointPower AutomateAzure MLAWS SageMakerCI/CDMLOps

Company Brief

Micron Technology
Designs and manufactures semiconductor memory and storage solutions, including DRAM, NAND, and NOR flash, for computing, networking, mobile, and automotive markets worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Boise, United States
Founded: 1978
Glassdoor
Glassdoor: 3.7
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