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Senior Applied Scientist

TomTom -
Gand

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Détails de l'emploi

Temps plein

Qualifications

Informatique
Azure
Informatique
Vision par ordinateur
Big data
DevOps
Spark
Java
Machine learning
Kafka
Collecte de données
Intelligence artificielle
Python

Description complète du poste

At TomTom, the Maps team sits at the heart of our vision to build the world's most accurate, fresh, and intelligent map. As an Applied Scientist, you will help evolve the Orbis Road Model Map and the Orbis Lane Model Map by transforming high‑fidelity, high‑volume data into map content that powers next‑generation navigation, automated driving, and high‑quality Guidance for millions of drivers.

You will t play a pivotal role in building navigation-related map content from a collection of massive geospatial data sources using ML algorithms and solutions. — fueling products and partnerships that rely on TomTom's map as a competitive differentiator, from global OEMs to cutting‑edge automated driving programs.

What You'll Do

Design and develop algorithms that extract actionable insights from massive, imperfect datasets, turning raw geospatial data into intelligence that powers the future of map-making technology.

Work with one of the largest traffic data streams worldwide, applying your expertise to decode complex datasets and improve mobility systems.

Take ownership of the full lifecycle of software projects, ensuring smooth transitions from research to production-level implementation.

Support and improve production environments to guarantee operational excellence of the systems you build.

Work closely with Software Engineers and Product Managers on the team.

What You'll Need

A university-level degree in Machine Learning, Computer Science, or a relevant field.

5+ years of industry experience developing production-grade code, with proficiency in Java and Python.

Proven track record in solving business problems through ML solutions (e.g. Computer Vision, classic ML algorithms, etc.)

Strong skills in Software Engineering, both in greenfield projects and optimizing existing systems.

You’re a collaborative team player who thrives in an international environment, and you have strong written and verbal communication skills in English.

What's Nice to Have

Experience in handling large volumes of Geospatial data

Familiarity with DevOps practices and cloud platforms like Azure.

Familiarity with Big Data pipelines (e.g. Spark/Kafka)

What we offer

A competitive compensation package, of course.

Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.

Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.

Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.

Improve your home office with a setup budget and get extra support with a monthly allowance.

Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.

Take the holidays you want with a competitive holiday plan, plus an extra day off to celebrate your birthday.

Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world.

Become a part of our inclusive global culture and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!

Find out more about our global benefits and enjoy additional local benefits tailored to your location.

Meet your team

We’re Maps, a global team within TomTom’s Location Technology Products technical unit. Our team is driven to deliver the most up-to-date, accurate and detailed maps for hundreds of millions of users around the world. Joining our team, you’ll continuously innovate our mapmaking processes, directly contributing to our vision: engineering the world's most trusted and useful map.

At TomTom...

You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.

Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we’ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.

After you apply

Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.

TomTom is an equal opportunity employer

TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you’ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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