Lead Applied Scientist Engineering Maps Places(Maps) Madrid, Spain

ppThe 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. /ph3What you'll do: /h3ulliLead the design, implementation, and integration of scalable AI/ML systems and services within the POI domain, setting direction for critical technical components /liliOwn and deliver end-to-end AI/ML solutions for large-scale, high-impact initiatives, ensuring quality, scalability, and long-term maintainability /liliSolve complex, ambiguous problems, defining approaches where no clear path exists and applying innovative, data-driven solutions /liliDesign and develop advanced, production-grade algorithmic solutions and ML models that address challenging real-world use cases at scale /liliShape the technical architecture within your domain, making decisions that influence systems across teams and long-term platform evolution /liliProactively identify risks, trade-offs, and technical dependencies, driving alignment and resolution across stakeholders /liliChampion best practices and continuously raise the bar on model development, system design, and engineering excellence /liliProduce high-quality, production-level code and lead by example through thoughtful and impactful code reviews /liliAct as a go-to expert within the team, providing technical leadership and guidance in your area of expertise /liliMentor Applied Scientists (Levels I-III), supporting their growth and strengthening the overall capability of the team /liliCollaborate across teams and influence Product Managers, Program Managers, and leadership on AI/ML strategy, solutions, and trade-offs /li /ulh3What you'll need: /h3ulliStrong, up-to-date expertise in Applied Science and Machine Learning techniques, ideally within POI, geospatial, or similarly data-intensive domains /liliProven ability to design, build, and deploy scalable AI/ML systems in production, making high-quality technical decisions that balance performance, scalability, and maintainability /liliDemonstrated ability to solve complex, ambiguous problems, defining approaches where no clear precedent exists and driving solutions from concept to production /liliExperience developing advanced algorithmic solutions and ML models that address real-world challenges at scale /liliStrong understanding of system design and architecture, with the ability to shape technical direction and influence decisions beyond your immediate team /liliDeep understanding of product context and domain-specific systems, enabling sound decision-making and effective evaluation of trade-offs /liliStrong coding skills, with a focus on writing efficient, maintainable, and production-quality code in a collaborative environment /liliExperience identifying and resolving technical risks, dependencies, and large-scale system challenges (e.g., refactoring, migrations, performance improvements) /liliAbility to operate with a high degree of autonomy and ownership, managing multiple priorities in complex environments /liliStrong collaboration and communication skills, with the ability to influence stakeholders across disciplines and explain complex concepts clearly to both technical and non-technical audiences /liliExperience mentoring others and contributing to raising the bar on team capability, ways of working, and engineering excellence /li /ulh3Ways of working /h3ulliOperates with good level of autonomy on defined problem areas, seeking input for complex or high-impact decisions. /liliHandles problems of medium to high complexity that may involve evolving requirements, data limitations, or system dependencies. /liliMakes technical decisions within agreed scope and contributes to broader design discussions. /liliWorks in close collaboration with other Applied Scientists, Engineers, and Product stakeholders using shared planning and review processes. /li /ulpAt 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. /ph3What

we offer
/h3pA competitive compensation package, of course. /ppTime 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. /ppTime to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities. /ppWork flexibility, where TomTom'ers, in agreement with their manager and tea