The Applied Scientist in the MAPS POIs team contributes to the design, development, and continuous improvement of data‑driven and machine‑learning solutions that enhance the accuracy, coverage, and usability of TomTom’s maps and Points of Interest products.
This role applies scientific and analytical methods to solve complex, real‑world problems at scale, translating data and models into reliable, production‑ready solutions that create value for TomTom customers and internal stakeholders.
As an experienced Applied Scientist, you will play a key role in designing and delivering scalable AI/ML solutions within the POI domain. You will work across multiple challenges, contributing to both the technical direction and execution of high-impact initiatives across teams.
You will:
- Lead the design, implementation, and integration of scalable AI/ML systems and services within the POI domain
- Independently solve complex, ambiguous problems, often requiring new perspectives or innovative approaches
- Develop advanced and original algorithmic solutions and ML models that address challenging, real-world use cases
- Contribute to the technical architecture and system design within your team’s scope
- Own and deliver end-to-end AI/ML solutions for large-scale initiatives, ensuring high quality, scalability, and maintainability
- Proactively identify risks and technical roadblocks, driving them to resolution
- Apply and champion industry best practices and standards, continuously improving systems, models, and processes
- Produce high-quality, production-level code and provide insightful code reviews to elevate team standards
- Act as a technical resource within the team, supporting and guiding less experienced colleagues
- Mentor Applied Scientists (Levels I–III) and contribute to team knowledge sharing and capability building
- Collaborate across teams and advise Product Managers, Program Managers, and leadership on AI/ML solutions and trade-offs
- Strong, up-to-date expertise in Applied Science / Machine Learning techniques, particularly within POI, geospatial, or related domains
- Proven ability to design, build, and deploy scalable AI/ML systems in production environments
- Demonstrated experience solving complex, ambiguous problems, including situations where no clear precedent exists
- Ability to develop innovative algorithmic solutions and advanced ML models that address real-world challenges
- Solid understanding of system design and architecture, with the ability to contribute to technical direction within a team
- Deep understanding of product features and domain-specific systems, enabling effective decision-making and trade-off evaluation
- Strong coding skills with a focus on writing efficient, maintainable, and well-documented production-quality code
- Experience identifying and resolving technical risks, bottlenecks, and large-scale system challenges (e.g., refactoring, migrations, or performance improvements)
- Ability to work independently with high ownership, managing multiple challenges within a defined scope
- Strong collaboration and communication skills, with the ability to influence stakeholders and explain complex technical concepts clearly
- Experience supporting or mentoring others, contributing to team growth and knowledge sharing
- Operates with good level of autonomy on defined problem areas, seeking input for complex or high‑impact decisions.
- Handles problems of medium to high complexity that may involve evolving requirements, data limitations, or system dependencies.
- Makes technical decisions within agreed scope and contributes to broader design discussions.
- Works in close collaboration with other Applied Scientists, Engineers, and Product stakeholders using shared planning and review processes.
This role supports continuous development by enabling deeper technical expertise, broader domain understanding, and increased ownership over more complex or higher‑impact problems.
Progression occurs through demonstrated skill growth, expanded decision‑making scope, and sustained delivery of measurable outcomes, rather than tenure or background.
At TomTom, we value roles that can be compared fairly across teams and functions. This position is defined by skills, responsibilities, and contribution, supporting transparent pay setting, equitable evaluation, and internal mobility opportunities for all employees.
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. 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.
