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.
What You'll Do
As an experienced Applied Scientist, you will play a key role in shaping and delivering scalable AI/ML solutions within the POI domain. You will operate across complex challenges, driving 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, setting direction for critical technical components
Own and deliver end-to-end AI/ML solutions for large-scale, high-impact initiatives, ensuring quality, scalability,
and long-term maintainability
Solve complex, ambiguous problems, defining approaches where no clear path exists and applying innovative, data-driven solutions
Design and develop advanced, production-grade algorithmic solutions and ML models that address challenging real-world use cases at scale
Shape the technical architecture within your domain, making decisions that influence systems across teams and long-term platform evolution
Proactively identify risks, trade-offs, and technical dependencies, driving alignment and resolution across stakeholders
Champion best practices and continuously raise the bar on model development, system design, and engineering excellence
Produce high-quality, production-level code and lead by example through thoughtful and impactful code reviews
Act as a go-to expert within the team, providing technical leadership and guidance in your area of expertise
Mentor Applied Scientists (Level
📌 Lead Applied Scientist (Madrid)
🏢 TomTom
📍 Madrid