
Senior Applied Scientist
AI
TomTom is seeking a Senior Applied Scientist to join the Traffic Control Features team within its Automated Driving organization. The role involves developing algorithms and machine-learning solutions for traffic signs, traffic lights, road markings, and other traffic-control features, requiring 4+ years of experience in applied science, machine learning, or computer vision, and proficiency in Python and ML frameworks.
What you'll do
- Develop algorithms and ML solutions for traffic signs, traffic lights, road markings, and other traffic-control features, including projects with Computer Vision and Image Recognition.
- Design and productionize solutions that extract reliable map information from diverse, large-scale and noisy real-world data sources, including car sensor data and unstructured information.
- Improve how features are detected, positioned, and associated with the correct road/lane and driving direction.
What you need
Must-have
PythonPyTorchTensorFlowApache SparkDatabricksComputer VisionImage RecognitionMachine Learning
Soft skills
Problem-solvingCommunicationMentoringCode ReviewIndependent Problem Solving
Applied ScientistMachine LearningComputer VisionAutomated DrivingMappingGeospatialPythonPyTorchTensorFlowSenior