Alliance

Vehicle Noise Testing & Machine Learning Engineer, Trainee

Barcelona ZF

Actively hiring, first seen by us 4 days ago

Pay: Pay not listed
Work setting: Not stated
Employment: Part-time — employment source
Employment type in the employer’s posting: Part time
From the employer’s posting

Before you apply

New graduates: Entry levelJob title: Vehicle Noise Testing & Machine Learning Engineer, Trainee

What you’ll work on

Full posting

Analyse and process vehicle test data
Develop predictive models to estimate tyre noise behaviour
Investigate how tyre and vehicle parameters affect exterior noise
Build an interface for engineers to simulate tyre noise
Support digitalisation and optimisation of NVH engineering processes

From the employer’s posting

Analyse and process vehicle test data.

Develop predictive models to estimate tyre noise behaviour.

Investigate the influence of different tyre and vehicle parameters on exterior noise performance.

Build an intuitive interface that enables engineers to simulate tyre noise based on different tyre specifications and operating conditions.

Contribute to the digitalisation and optimisation of NVH engineering processes.

Apply at Alliance

Posting record

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Actively hiringFirst seen by us 4 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 30, 20264 days ago
Recorded sightings: 6
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 4

Early. Similar jobs usually come down between day 6 and day 69.

From 4,296 similar postings that came down. Coming down is not always a hire.

Alliance is hiring

14 open jobs

Open jobs by the week we first saw them, last 12 weeks.

ML Engineer hiring is picking up
Takes jobs down at a usual pace

Hiring record

See how this role fits your experience

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Python

Where the posting names them

- Strong knowledge of Machine Learning and AI concepts and tools. - Programming skills in Python or similar languages. - Solid understanding of mathematical modelling and data analysis methods.

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About the role

We file this job under ML Engineer, by the work the posting describes.

ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.

Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.

A data scientist often works out which model to build; an ML engineer makes it run reliably in production.

US government figures for computer and information research scientists

Median yearly pay, May 2025: $140,300
Expected change, 2025 to 2035: 21.8% more jobsagainst 3.5% for all jobs

The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.

Job description

View original posting ↗

🚗 Vehicle Noise Testing & Machine Learning Engineer, Trainee

Are you passionate about automotive innovation, machine learning, and AI? Ready to apply your skills to real-world engineering challenges in a global company? Nissan is looking for a proactive and curious intern to join our NVH (Noise, Vibration & Harshness) Team.

🎯 Your Mission

Support the development of a predictive model to better understand and estimate tyre noise based on key test parameters such as:

Tyre pressure / stiffness / Vehicle speed / Ambient temperature / and other relevant vehicle and test conditions.

To optimize the internal RAG application adding new technical parameters based on the history vehicle development key data.

Using Machine Learning and AI tools, your goal will be to:

Analyse and process vehicle test data.
Develop predictive models to estimate tyre noise behaviour.
Investigate the influence of different tyre and vehicle parameters on exterior noise performance.
Build an intuitive interface that enables engineers to simulate tyre noise based on different tyre specifications and operating conditions.
Contribute to the digitalisation and optimisation of NVH engineering processes.

👀 We're Looking For a Motivated Candidate With:

Strong knowledge of Machine Learning and AI concepts and tools.
Programming skills in Python or similar languages.
Solid understanding of mathematical modelling and data analysis methods.
Interest in applying technology to real engineering challenges.
Fluency in English (spoken and written).

🌍 What We Offer

A hands-on internship with exposure to cutting-edge automotive technologies.
The opportunity to work on a real project with direct impact on vehicle development.
A multicultural and inclusive work environment with colleagues from around the world.
Flexibility through hybrid working, combining remote work and collaboration at NTCE facilities.
Financial compensation during the internship period.
An excellent opportunity for students completing their Bachelor's Final Project or Master's Thesis.

🎓 To join this internship experience, you must be currently enrolled in a Bachelor's or Master's Degree and able to establish a university internship agreement with your academic institution.

At Nissan, we believe that the differences among us – differences in race, gender, age, mindset, religion, people with disabilities and much more – make us stronger and equip us to better serve our customers and communities. We are committed to creating positive change that ensures transparency and inclusivity throughout the career journey, in order to build teams that create a sense of belonging for all members.

Barcelona Barcelona Spain

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