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Amsterdam
3 weeks ago
Machine Learning Staff Engineer – ADAS Online logo

Machine Learning Staff Engineer – ADAS Online

TomTom

Amsterdam
3 weeks ago
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Machine Learning Staff Engineer – ADAS Online

TomTom seeks a Machine Learning Staff Engineer for its ADAS Online team in Amsterdam to drive technical direction for physical AI algorithms, design transformer models for 3D awareness, and mentor engineers. Requires 7+ years ML experience, deep PyTorch expertise, and a track record of improving ML system performance. Hybrid work model with two office days per week.

AIHybridFull-timePrincipalMachine LearningPyTorch

Machine Learning Staff Engineer – ADAS Online

TomTom seeks a Machine Learning Staff Engineer for its ADAS Online team in Amsterdam to drive technical direction for physical AI algorithms, design transformer models for 3D awareness, and mentor engineers. Requires 7+ years ML experience, deep PyTorch expertise, and a track record of improving ML system performance. Hybrid work model with two office days per week.

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AIHybridFull-timePrincipalMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: two days per week in office, remaining three remote

Experience Required

7 years

Employment Type

Full-time

Experience Level

Staff Engineer: 7+ years experience

Core Qualifications

Technical (Must-have)
Machine LearningPyTorchVision TransformersDiffusionComputer VisionDeep LearningOptimizationProbabilistic ModelingGaussian SplattingObject DetectionMulti-Object TrackingSemantic SegmentationOccupancy ModelingMulti-modal FusionReinforcement Learning
Soft Skills
MentoringTechnical LeadershipGuidance

Preferred Qualifications

Technical (Nice-to-have)
Autonomous SystemsRobotics Perception3D Data RepresentationsPoint CloudsBEVVoxel GridsUnityLarge-Scale TrainingFoundation Models

Key Responsibilities

  • •Define and drive technical direction for physical AI algorithms
  • •Define and execute technical roadmap for 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 traditional approaches
  • •Apply advanced ML techniques to improve perception performance
  • •Lead structured experimentation and benchmarking
  • •Translate research ideas into reliable, scalable ML solutions
  • •Provide technical guidance and mentorship to perception engineers
Machine LearningStaff EngineerADASAutonomous DrivingComputer VisionPyTorchTransformersReinforcement LearningHybridAmsterdam
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