1

Junior Machine Learning Engineer New Grad Jobs in California

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you ...

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of data-driven and ML-powered solutions for semiconductor R&D, test, and operations teams. In this role ...

next page

Showing results 1-20

Junior Machine Learning Engineer New Grad information

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in California? The most popular types of Machine Learning Engineer New Grad jobs in California are:
What are popular job titles related to Junior Machine Learning Engineer New Grad jobs in California? For Junior Machine Learning Engineer New Grad jobs in California, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer New Grad jobs in California look for? The top searched job categories for Junior Machine Learning Engineer New Grad jobs in California are:
What cities in California are hiring for Junior Machine Learning Engineer New Grad jobs? Cities in California with the most Junior Machine Learning Engineer New Grad job openings:

Machine Learning Engineer

Advantest

San Jose, CA

Full-time

Posted 3 days ago


Job description

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of datadriven and MLpowered solutions for semiconductor R&D, test, and operations teams. In this role,you'llcontribute to building predictive models, conducting statistical analyses, andassistingin the development of lighttomoderate data pipelines that help transform complex semiconductor datasets into actionable insights.

This position is ideal for a recent graduate with strong foundational ML skills whoiseager to learn, collaborate, and grow in a fastpaced, technically rich environment.You'llwork alongside experienced engineers, data scientists, and domain experts while gaining handson experience across the ML lifecycle-from data preparation to model deployment

Key Responsibilities

Machine Learning & Advanced Analytics

  • Develop and evaluate ML models (e.g., classification, anomaly detection, regression, timeseries analysis).
  • Perform feature engineering andexploratorydata analysis on semiconductor datasets.
  • Contribute to model deployment workflows in collaboration with MLdata scientists, followingMLOpsbest practices.
  • Assistin implementing model monitoring, retraining workflows, and documentation.
  • Experiment with modern analytics techniques, including LLMbased or generativeAI methods, under guidance from senior team members.

Data Engineering & Pipeline Support

  • Help build and maintain ETL/ELT workflows that prepare data for analysis and modeling.
  • Support data quality checks, versioning, and data validation tasks.
  • Work with cloudand onpremtools to help ensure data accessibility for ML applications.

CrossFunctional Collaboration

  • Work with semiconductor engineers and data scientists to translate domain challenges into analytical tasks.
  • Support the creation of dashboards, reports, and visualizations that communicate insights clearly.
  • Learn and apply semiconductorspecific data concepts with the support of senior mentors.