6 beste vacatures voor de functie van machine learning engineer in gemeente neder betuwe (nieuwe medewerkers gezocht)

Internship – Product Engineering (Data Science: Machine Learning Analyst)
NXP Semiconductors —Nijmegen
- Online sollicitatie
- Informatica
- Master
- Analytisch vermogen
PhD Candidate-AI for Automated Human Behavior Annotation
Noldus —Wageningen
- € 3.204 - € 4.051 per maand
- Fulltime
- Hybride werken
- Doctor
- Informatica
- Engels
Snel solliciteren
8 dagen
Adviseur Trillingen
DGMR —Arnhem
- € 4.000 - € 7.000 per maand
- Online sollicitatie
- Hybride werken
- Microsoft Excel
- Kantoor
- Analytisch vermogen
Snel solliciteren
Internship – Product Engineering (ML Model Development)
NXP Semiconductors —Nijmegen
- Online sollicitatie
- Informatica
- Master
- Analytisch vermogen
Prompt Engineer/AI Engineer
Monkeybridge —Nijmegen
- Kantoor
- Analytisch vermogen
- Bachelor
- Reiskostenvergoeding
- Flexibele werkuren
Mechanical Engineer
Mpac —Wijchen
- Fulltime
- CAD
- Engineering
- Engels
Snel solliciteren

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PhD Candidate-AI for Automated Human Behavior Annotation
Noldus —Wageningen
Through Utrecht University, you will have access to PhD training and courses offered through the Graduate School program, supporting both your academic and…
€ 3.204 - € 4.051 per maand
Snel solliciteren
8 dagen

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Internship – Product Engineering (Data Science: Machine Learning Analyst)

NXP Semiconductors -
Nijmegen

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Vacaturegegevens

Fulltime

Kwalificaties

Informatica
Toegepaste wiskunde
Wiskunde
Master
Analytisch vermogen
Python

Volledige vacaturetekst

The future starts here! Ready to join NXP ?

Become part of a dynamic Product Engineering team that is working on products driving One of the mega trends in the evolution towards highly automated vehicles. NXP offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Product line In-Vehicle Networking is with CAN, LIN, Flexray and Ethernet solutions, enabling communications within architectures designed for secure and hyper-connected autonomous vehicles.

Your Team

The Product Engineering –

You will be part of our product development team , Product Line, In-Vehicle Networking, in Nijmegen, Netherlands, who is working rigorously to deliver the best products to market on time while ensuring our brand's reputation for leadership in total quality at optimal cost.

As a Product Engineer ing intern , you are in a central position (a spider in the web) in the New IC Product development . You get to work with all the disciplines needed to design an IC and several external teams to prepare it for mass production . There is a lot of room for new ideas and innovations and you will be supported to have a continuous focus on development, coaching and creating a supportive environment from your team.

Your Responsibilities

Develop and evaluate an anomaly detection approach for machine learning models to determine whether incoming data and model predictions are reliable before further processing.

Analyze large-scale datasets to identify out-of-distribution behavior , data shifts, and inconsistencies between inputs and model outputs.

Design and calibrate an anomaly scoring mechanism and decision thresholds, balancing detection sensitivity with practical review capacity in a production environment.

Validate the solution using historical data, including simulation or injection of anomalous scenarios where required .

Collaborate with cross-functional teams (e.g., engineering and data science) to define relevant anomaly types, interpret model behavior , and translate insights into practical decision-making workflows.

Document the methodology , validation results, and recommended thresholds in a clear and structured way suitable for internship and thesis deliverables.

What’s in it for you

A great opportunity to develop your skills (technical, soft skills, communication, etc.)

Gaining experience in a multinational and diverse environment

Possibility to become part of NXP’s Young Professional Talent Pool

Working on real assignments which contribute to NXP’s objectives

Your P rofile

Master’s student with major in Computer Science, Machine Learning, Data Science, Statistics, or a closely related quantitative field. Minor or additional course work in Applied Mathematics is a plus.

Strong programming skills in Python and experience working with data analysis or machine learning workflows.

Solid foundation in statistics, anomaly detection, out-of-distribution detection, or distribution-shift analysis.

Comfortable translating analytical results into practical engineering decisions and collaborating with cross-functional technical stakeholders.

Interest in semiconductor test data, production analytics, and deploying trustworthy ML solutions in an industrial setting.

Available for an internship that can be combined with a thesis project.

Duration

This is a full-time / part time internship ( 20/ 40 hours per week) with a duration of 6 months or longer. The assignment may be suitable as a thesis/graduation project.

Please note that in order to be considered for an internship/working student assignment, you need to be registered as a student during the entire period.

Creating Secure Connections and Infrastructure for a Smarter World

NXP Semiconductors N.V. (NASDAQ: NXPI) makes products and environments safer, more sustainable, and more secure with innovative connectivity and edge processing solutions for a smarter world.

We are in the business of better . Not just better technologies, but better innovations to improve society. As the world leader in secure connectivity and processing solutions for embedded applications, NXP is solving the world’s most complex technology challenges to accelerate business innovation, enhance how we work, and advance how we live.

If you are as excited about this opportunity as we are, we kindly invite you to apply. After a screening based on your profile you can be expected to have a video interview with our Talent Acquisition Consultant followed by business.

What C an Y ou E xpect?

Development opportunities: We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we provide you with a mix of learning through on-the-job experiences, learning from industries bests , and learning through education to help you develop your core and professional skills.

Our offices: The Netherlands is home to our global headquarters (Eindhoven) along with two additional sites (Nijmegen, Delft) and includes a diverse team of over 2000 employees with 51 different nationalities focused on R&D, manufacturing, product development, business operations, legal and sales.

Hiring process: Applying only takes a minute! Fill in the online application and share your CV with us. After a positive screening based on your CV you will have an initial video conversation with our Talent Acquisition Consultant followed by several business interviews. Here are some useful tips to help you prepare .

And more: Life at NXP is more than work alone. Join one of the many social activities that are organized by and for employees in the Netherlands, such as our Christmas parties and International Walking Day. We have a YOUNG community that organizes a mix of social and professional events for our young professionals and an active Women in NXP. We also take time to give back to our communities by engaging young girls to learn about Technology during Girls Day or participating in several volunteering activities.

What’s N ext?

If you’re excited about this opportunity, we kindly invite you to apply! If you have any questions, we are happy to answer them.

More information about NXP in the Netherlands...

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machine learning engineer vacatures in gemeente neder betuwe

Internship – Product Engineering (Data Science: Machine Learning Analyst)

PhD Candidate-AI for Automated Human Behavior Annotation

Adviseur Trillingen

Internship – Product Engineering (ML Model Development)

Prompt Engineer/AI Engineer

Mechanical Engineer

More jobs to discover

Ik wil de nieuwste vacature-alerts ontvangen voor de functie van machine learning engineer in gemeente neder betuwe

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