Amsterdam
1 week ago
Senior Applied Scientist - ADAS logo

Senior Applied Scientist - ADAS

TomTom

Senior Applied Scientist - ADAS

TomTom is building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As Senior Applied Scientist - ADAS, you will drive the algorithmic direction of the in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. Requires 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision, with strong PyTorch expertise.

Core AIHybridFull-timeSeniorMachine LearningVision Transformers

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: office two days a week, remaining three days free to work from either location

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior

Core Qualifications

Technical (Must-have)
Machine LearningVision TransformersDiffusionComputer VisionDeep LearningPyTorchOptimizationProbabilistic ModelingReinforcement LearningGaussian SplattingObject DetectionMulti-Object TrackingSemantic SegmentationOccupancy ModelingMulti-Modal Fusion
Soft Skills
MentorshipTechnical LeadershipCommunicationCollaboration

Preferred Qualifications

Technical (Nice-to-have)
Autonomous SystemsRobotics Perception3D Data RepresentationsPoint CloudsBEVVoxel GridsUnityFoundation ModelsLarge-Scale Training

Key Responsibilities

  • Define and drive the technical direction for physical AI algorithms
  • Define and execute on a technical roadmap towards state-of-the-art reinforcement learning using physical AI world models
  • Design, implement, and improve ML / vision transformer models for 3D awareness and planning
  • Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments
  • Identify where larger end-to-end models should replace more traditional approaches
  • Apply advanced ML techniques (Transformers, representation learning, large-scale models) to improve perception performance
  • Lead structured experimentation and benchmarking to deliver measurable gains in accuracy and robustness
  • Translate research ideas into reliable, scalable ML solutions
  • Provide technical guidance and mentorship to perception engineers
ADASMachine LearningComputer VisionAutonomous DrivingPyTorchSeniorApplied ScientistTomTomAmsterdamOn-site