You'll join the ALF (Localization Features) team within TomTom's ADAS & ADS Product Unit, which develops the HD maps and ADAS technology that powers real-time location intelligence for major automotive and tech companies.
Work with a team of senior engineers and applied scientists to develop high-quality algorithms and ML software that powers TomTom's HD maps for ADAS.
Contribute to the design, implementation, and integration of algorithms, ML systems, and data pipelines.
Tackle complex technical problems at scale.
Build iteratively using agile methodologies and rigorous experimentation.
Support junior engineers and interns, and contribute to hiring as an interviewer.

3+ years of professional Applied Science, Machine Learning, algorithm development, or related experience.
Bachelor's degree (minimum) in Computer Science, Machine Learning, Computer Vision, Geospatial Science, Statistics, or a related quantitative field.
Solid fundamentals in algorithm design and analysis: data structures, complexity reasoning, and applied algorithms for geospatial and signal-processing problems.
Solid fundamentals in machine learning: model training and evaluation, statistics, and experimental design.
Proficiency in Python; experience with at least one ML framework (PyTorch, TensorFlow, or equivalent) and at least one large-scale data processing framework (Spark, Databricks, or equivalent).
Experience taking algorithms, ML models, or data pipelines into production, not just running experiments offline.
Working familiarity with several of the following: algorithm design for geospatial and geometric problems, classical ML and clustering on noisy sensor data, computer vision, data and ML pipelines at scale.
Comfortable with written and verbal communication in English.
Curiosity and desire to learn, and to expand your skill set across the ML stack.
Ability to solve a complex problem on your own by leveraging experience, peers, and other resources.

A competitive compensation package
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.
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.
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.

Applied Scientist

Key skills