CareerPlan

Vehicle Noise Testing & Machine Learning Engineer, Trainee

Barcelona ZF, ESFull-time2026-10-30 → 2026-11-10
Hybrid

Core

Develop predictive models to estimate tyre noise and optimize an internal RAG application using vehicle test data.

Role type

Trainee machine learning engineer (NVH)

Builds

Predictive models for tyre noise estimation and an intuitive simulation interface

Domain

Automotive engineering, NVH (Noise, Vibration & Harshness)

Deliverable

production ML models

Required skills

Machine learning, Python, mathematical modelling, data analysis

Preferred skills

AI tools, digitalisation of engineering processes

Responsibilities

Analyse and process vehicle test data, Develop predictive models to estimate tyre noise behaviour, Investigate the influence of tyre and vehicle parameters on exterior noise performance, Build an intuitive interface for tyre noise simulation, Contribute to the digitalisation of NVH engineering processes, Optimize internal RAG application with new technical parameters