Senior Applied Scientist

TomTom; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Personal development budget

Paid learning days and access to O’Rei

Home office setup allowance

Hybrid work model

Job summary

TomTom’s Traffic Control Features team in Automated Driving is seeking an experienced Applied Scientist to build ML solutions for traffic signs, signals, and road markings. You will turn real-world observations into reliable map content, working with engineers to productionize pipelines and improve recall and precision across large-scale data.

You will mentor teammates, review code, and contribute to hiring while using AI tools to accelerate problem solving.

Qualifications

• Strong background in ML, algorithms, and model development.
• Experience turning research into production-grade ML solutions.
• Proficiency in Python and ML frameworks; scalable data processing experience.

Responsibilities

• Develop ML algorithms for traffic signs, lights, road markings and other features.
• Productionize solutions to extract map information from large-scale noisy data.
• Improve feature detection, positioning and road/lane association accuracy.
• Drive improvements in recall, precision and map quality against targets.
• Own components of production pipelines from data input to map output.
• Tackle geospatial, map-matching, CV and large-scale evaluation challenges.
• Run experiments, document outcomes, and translate success into production.

Skills

Machine Learning

Algorithms

Geospatial Analysis

Python programming

Communication

Education

Bachelor's degree in CS/ML/CV/Geospatial/Statistics

Master’s or PhD is a plus

Tools

PyTorch

TensorFlow

Spark/Databricks

Job description

Meet the team

You’ll join the Traffic Control Features team within TomTom’s Automated Driving organization. The team builds the technology that turns real-world observations into reliable map information about traffic signs, traffic lights, stop lines and road markings. You’ll work with applied scientists and software engineers to develop algorithms and machine-learning solutions that detect, position and connect these features to the right roads and driving directions. The goal is to deliver accurate, scalable map content that supports navigation and advanced driving experiences. TomTom measures these features using quality dimensions such as recall, precision, and road-relation accuracy.

What You Will Do

• Develop algorithms and ML solutions for traffic signs, traffic lights, road markings, and other traffic-control features, including projects with Computer Vision and Image Recognition.
• Design and productionize solutions that extract reliable map information from diverse, large-scale and noisy real-world data sources, including car sensor data and unstructured information.
• Improve how features are detected, positioned, and associated with the correct road/lane and driving direction.
• Drive measurable improvements in recall, precision, and overall map quality against customer-facing targets.
• Own components of production pipelines, from input data and feature extraction through evaluation and validated map output.
• Solve complex problems involving geospatial geometry, map matching, computer vision, image recognition, noisy observations, ground-truth quality, and large-scale evaluation.
• Run experiments, translate successful approaches into production solutions, and clearly document outcomes.
• Use AI tools, such as Claude Code, to support problem solving, data analysis, implementation, and engineering productivity.
• Mentor junior colleagues, provide insightful code reviews, and contribute to hiring.

What You Will Need

• 4+ years of professional experience in Applied Science, Machine Learning, algorithm development, computer vision or related field.
• Bachelor’s degree or higher in Computer Science, Machine Learning, Computer Vision, Geospatial Science, Statistics or another quantitative field. Master’s or PhD is a plus.
• Strong fundamentals in algorithms and machine learning , including model development, evaluation, statistics and experimental design.
• Proficiency in Python , an ML framework such as PyTorch or TensorFlow, and large-scale data processing tools such as Spark or Databricks.
• Experience taking algorithms, ML models or data pipelines from experimentation into production .
• Experience leading well-scoped technical projects and mentoring junior colleagues.
• Ability to work across data, algorithms, modeling, ground truth and evaluation rather than operating within only one area of expertise.
• Strong problem-solving skills and the ability to independently approach complex and ambiguous problems.
• Proficient written and verbal communication skills in English.
• You already live in the Netherlands. We cannot offer relocation for this role.

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.