Intern – ML/AI Engineer (Product Engineering, STPG)

Micron Technology
Singapore
Workplace: OnsiteInternshipFunction: Data Science & Machine LearningSkills: ["Collaboration","Problem-solving","Learning agility","Attention to detail"]

Build and validate predictive machine-learning models for yield, reliability, and test-time optimization using structured/tabular semiconductor data. Help develop agentic AI systems to automate engineering workflows like report generation, data processing, anomaly detection, and test program checks. Support end-to-end data preparation and ML/AI pipeline integration, prototype improvements for test efficiency and engineering productivity, and learn through CDS enablement with senior mentors.

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FursaFursa
Micron Technology
Micron Technology
1 day ago

Intern – ML/AI Engineer (Product Engineering, STPG)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Build and validate predictive machine-learning models for yield, reliability, and test-time optimization using structured/tabular semiconductor data. Help develop agentic AI systems to automate engineering workflows like report generation, data processing, anomaly detection, and test program checks. Support end-to-end data preparation and ML/AI pipeline integration, prototype improvements for test efficiency and engineering productivity, and learn through CDS enablement with senior mentors.
Location: Singapore
Workplace: Onsite
Employment Type: Internship
Job Function: Data Science & Machine Learning
Seniority: Intern level

Key Responsibilities

  • •Assist in building predictive ML models for yield, reliability, and test-time optimization using structured/tabular data.
  • •Develop agentic AI capabilities to automate engineering tasks such as report generation, data processing, anomaly detection, or test program checks.
  • •Participate in data cleaning, transformation, and structuring of high-volume semiconductor datasets for ML/AI pipelines.
  • •Identify opportunities where AI can improve test efficiency, yield, or engineering productivity, and contribute to prototypes, demos, and best-practice documentation.
  • •Work with senior engineers and CDS mentors through training/bootcamps and hands-on CDS enablement activities.

Pay and Benefits

Perks:Paid LeaveLearning BudgetWellness StipendHealth InsuranceEquity

Key Requirements

  • •Assist in building predictive ML models for yield, reliability, and test-time optimization using structured/tabular data.
  • •Apply ML techniques such as regression, tree-based models, and boosting algorithms for insights from probe/wafer/manufacturing datasets.
  • •Support model evaluation, validation, and feature engineering workflows.
  • •Contribute to data cleaning, transformation, and structuring of high-volume semiconductor datasets feeding ML/AI pipelines.
  • •Work with engineering platforms and tools (e.g., JIRA, Confluence, SharePoint) to support AI agent workflows and internal prototypes.
Experience:Machine learningAISemiconductorData engineering
Skills:CollaborationProblem-solvingLearning agilityAttention to detail
Tech Stack:Machine learningAI agentsRegressionTree-based modelsBoosting algorithmsAnomaly detectionData cleaningData transformationFeature engineeringJIRAConfluenceSharePoint

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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