Machine Learning Applied Scientist - ADAS Online

TomTom; Amsterdam; Hybrid; EUR 75,000 - 110,000; Full time

Benefits offered by this job

Personal development budget

Learning days and e-learning access

Home office setup budget

Monthly home office stipend

Birthday holiday

Job summary

TomTom is seeking an ambitious machine learning engineer to advance our ADAS & ADS product line. You will develop and refine 3D perception models, including detection, segmentation, and tracking, while collaborating across teams to translate research into scalable production.

With 3+ years in ML and a passion for state-of-the-art techniques, you will shape algorithms for real-time HD mapping and autonomous systems.

Qualifications

• 3+ years of experience in machine learning, vision transformers, diffusion, or computer vision.
• Expertise in modern deep learning architectures.
• Hands-on experience with PyTorch (or equivalent frameworks).
• Understanding of what is needed to build and deploy large-scale ML models.
• Strong ownership and bias toward execution.
• Data-driven mindset with rigorous evaluation practices.
• Ability to operate effectively in fast-paced environments.
• Clear communication of technical trade-offs.
• High standards for code quality and reproducibility.
• Comfortable navigating ambiguity in complex technical domains.

Responsibilities

• Develop understanding of the team's physical AI roadmap and contribute ideas.
• Implement and improve ML/vision transformer models for 3D awareness.
• Produce instance detections, segmentation masks, tracking, and occupancy modelling.
• Contribute to multi-modal fusion pipelines (camera, LiDAR, RADAR).
• Apply Transformer-based and representation learning techniques in established frameworks.
• Run experiments and benchmarks with guidance; present results clearly.
• Translate research into production; ensure reliability and scalability.
• Actively seek feedback from senior engineers and apply it to improve quality.

Skills

Vision transformers

Diffusion models

Computer vision

Model deployment

Data-driven

Fast-paced

Communication

Code quality

Ambiguity handling

Tools

PyTorch

Job description

What You’ll Do

• Develop a solid understanding of the team's physical AI roadmap and contribute ideas that improve algorithms within your area of ownership;
• Implement and improve ML / vision transformer models for 3D awareness;
• Produce instance detections and segmentation masks, instance tracking, and occupancy modelling;
• Contribute to multi-modal fusion pipelines (camera, LiDAR, RADAR), building and validating components against defined requirements;
• Apply Transformer-based and representation learning techniques within established frameworks, building confidence in large-scale model development;
• Run experiments and benchmarks with guidance, producing clear results and contributing to the team's evaluation practices;
• Participate in translating research into production, learning what makes ML solutions reliable and scalable;
• Actively seek feedback from senior engineers and apply it to continuously improve the quality of your work.

What You’ll Need

• 3+ years of experience in machine learning, vision transformers, diffusion, or computer vision;
• Expertise in modern deep learning architectures;
• Hands-on experience with PyTorch (or equivalent frameworks);
• Understanding of what is needed to build and deploy large-scale ML models;
• Strong ownership and bias toward execution;
• Data-driven mindset with rigorous evaluation practices;
• Ability to operate effectively in fast-paced environments;
• Clear communication of technical trade-offs;
• High standards for code quality and reproducibility;
• Comfortable navigating ambiguity in complex technical domains.

Nice to Have

• Experience in autonomous systems or robotics perception;
• Publications or patents in machine learning or perception;
• Experience with 3D data representations (meshes, point clouds, BEV, voxel grids).

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 are the ADAS & ADS Product Unit, leading the production of TomTom’s HD maps and ADAS technology.

In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you’ll collaborate on groundbreaking location-based technologies and applications.

More specifically, you’ll be at the forefront of the creation of advanced HD maps. You’ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.

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.