INTERNSHIP DETAILS

AI/ML Engineering Intern

CompanyAdvantest
LocationSan Jose
Work ModeOn Site
PostedJanuary 27, 2026
Internship Information
Core Responsibilities
Assist in designing and implementing machine learning models and preprocess large datasets to extract insights. Collaborate with engineers to integrate ML models into production systems and document workflows.
Internship Type
full time
Company Size
3731
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Advantest (TSE: 6857) is the leading manufacturer of automatic test and measurement equipment used in the design and production of semiconductors for applications including 5G communications, the Internet of Things (IoT), autonomous vehicles, high performance computing (HPC) including artificial intelligence (AI) and machine learning, and more. Its leading-edge systems and products are integrated into the most advanced semiconductor production lines in the world. The company also conducts R&D to address emerging testing challenges and applications; develops advanced test-interface solutions for wafer sort and final test; produces scanning electron microscopes essential to photomask manufacturing; and offers system-level test solutions and other test-related accessories. Founded in Tokyo in 1954, Advantest is a global company with facilities around the world and an international commitment to sustainable practices and social responsibility. More information is available at www.advantest.com.
About the Role

Responsibilities include:

  • Assist in designing and implementing machine learning models for various applications.
  • Preprocess and analyze large datasets to extract meaningful insights.
  • Collaborate with software engineers, data scientists, design, test, and process engineers to integrate ML models into production systems.
  • Conduct experiments, evaluate model performance, and optimize algorithms.
  • Document workflows and present findings to the team.

Skills Required:

  • Strong programming skills in Python.
  • Experience with Python ML libraries such as, PyTorch and scikit-learn.
  • Understanding of machine learning concepts (supervised/un-supervised learning, model evaluation).
  • Familiarity with data preprocessing and feature engineering.
  • Ability to create dashboards and reports to visualize and present experimental results.
  • Basic DevOps experience: Linux environment, Git, and Docker.
  • Excellent teamwork and communication skills; ability to work effectively within a software engineering team.
  • Analytical thinking and a structured approach to problem solving.
  • Knowledge of semiconductor testing datasets is a plus but not required.
Qualifications

Currently pursuing a BS or MS in Computer Science, Data Science, Mathematics, or a related field.

Key Skills
PythonMachine LearningData PreprocessingFeature EngineeringDevOpsLinuxGitDockerAnalytical ThinkingCommunication SkillsTeamworkPyTorchScikit-learnModel EvaluationDashboard CreationSemiconductor Testing
Categories
TechnologyEngineeringData & AnalyticsSoftwareScience & Research