Lead AI/ML Scientist, Geospatial POI Systems

TomTom; Madrid; Híbrido; EUR 120.000 - 160.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Personal development budget

Access to learning resources (O’Reilly

Paid leave for learning days

Hybrid work model (office + home)

Birthday holiday

Descripción de la vacante

TomTom’s Maps team seeks an Applied Scientist to lead the design, development, and advancement of data-driven AI/ML solutions for POIs. You will translate data and models into production-ready systems, shaping architecture and guiding cross-functional collaborators across engineering and product.

This role emphasizes scalability, maintainability, and impactful, real-world use cases. You will mentor junior scientists, promote engineering excellence, and contribute to strategy discussions with

Formación

• Strong, up-to-date expertise in Applied Science and Machine Learning techniques, ideally within POI, geospatial, or similarly data-intensive domains.
• Proven ability to design, build, and deploy scalable AI/ML systems in production, making high-quality technical decisions that balance performance, scalability, and maintainability.
• Demonstrated ability to solve complex, ambiguous problems, defining approaches where no clear precedent exists and driving solutions from concept to production.
• Experience developing advanced algorithmic solutions and ML models that address real-world challenges at scale.
• Strong understanding of system design and architecture, with the ability to shape technical direction and influence decisions beyond your immediate team.
• Deep understanding of product context and domain-specific systems, enabling sound decision-making and effective evaluation of trade-offs.
• Strong coding skills, with a focus on writing efficient, maintainable, and production-quality code in a collaborative environment.
• Experience identifying and resolving technical risks, dependencies, and large-scale system challenges (e.g., refactoring, migrations, performance improvements).
• Ability to operate with a high degree of autonomy and ownership, managing multiple priorities in complex environments.
• Strong collaboration and communication skills, with the ability to influence stakeholders across disciplines and explain complex concepts clearly to both technical and non-technical audiences.
• Experience mentoring others and contributing to raising the bar on team capability, ways of working, and engineering excellence.

Responsabilidades

• 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 (Levels I–III), supporting their growth and strengthening the overall capability of the team.
• Collaborate across teams and influence Product Managers, Program Managers, and leadership on AI/ML strategy, solutions, and trade-offs.

Conocimientos

AI/ML design

Production-grade ML

Geospatial data

Code reviews

Mentoring

Cross-team collaboration

Python

Herramientas

Python

Descripción del empleo

TomTom’s Maps team seeks an Applied Scientist to lead the design, development, and advancement of data-driven AI/ML solutions for POIs. You will translate data and models into production-ready systems, shaping architecture and guiding cross-functional collaborators across engineering and product.

This role emphasizes scalability, maintainability, and impactful, real-world use cases. You will mentor junior scientists, promote engineering excellence, and contribute to strategy discussions with