ML Anomaly Detection Intern — Product Engineering

NXP Semiconductors

Nijmegen

Sur place

EUR 6 700 - 10 000

Temps partiel

Il y a 6 jours
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Real assignments

Résumé du poste

NXP Semiconductors in Nijmegen, Netherlands, invites a Master’s student to join the Product Engineering team working on In-Vehicle Networking. This internship focuses on building and evaluating anomaly detection for ML models, with cross-disciplinary collaboration and a potential thesis project.

You will develop data pipelines, analyze large datasets, and document results. The role offers a hands-on chance to contribute to real products, with a supportive team and an opportunity to join NXP’s

Qualifications

  • Master’s student in a quantitative field pursuing a thesis.
  • Strong Python programming and data analysis capabilities.
  • Solid foundation in statistics and anomaly detection.

Responsabilités

  • Develop and evaluate anomaly detection for ML models.
  • Analyze large-scale datasets for data shifts and OOD behavior.
  • Design anomaly scoring thresholds for production use.
  • Validate solutions with historical data and simulations.
  • Collaborate with engineering and data science teams.
  • Document methodology and results for internship/thesis.

Connaissances

Python programming
Statistics
Data analysis
Communication

Formation

Master’s student in CS/ML/Data Science
Applied Mathematics coursework a plus

Outils

Python

Description du poste

NXP Semiconductors in Nijmegen, Netherlands, invites a Master’s student to join the Product Engineering team working on In-Vehicle Networking. This internship focuses on building and evaluating anomaly detection for ML models, with cross-disciplinary collaboration and a potential thesis project.

You will develop data pipelines, analyze large datasets, and document results. The role offers a hands-on chance to contribute to real products, with a supportive team and an opportunity to join NXP’s

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