5 days ago

Senior Applied Scientist

TomTom

Amsterdam

5 days ago

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Senior Applied Scientist needed for TomTom's ADAS Online team in Amsterdam, focusing on ML and AI for spatial awareness. Requires 7+ years ML experience and deep expertise in deep learning. Hybrid role with 2 days in-office per week.

AIHybridFull-timeSeniorMachine LearningVision Transformers

Senior Applied Scientist

Apply

AIHybridFull-timeSeniorMachine Learning

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid: 2 days in-office, 3 days flexible

Experience Required

7 years

Employment Type

Full-time

Experience Level

Senior: 7+ years experience

Core Qualifications

Technical (Must-have)

Machine LearningVision TransformersDiffusionComputer VisionDeep LearningPyTorch3D Data RepresentationsObject DetectionMulti-Object TrackingSemantic SegmentationOccupancy ModelingMulti-Modal FusionOptimizationProbabilistic ModelingMentoring

Soft Skills

Technical LeadershipMentorship

Preferred Qualifications

Technical (Nice-to-have)

Autonomous SystemsRobotics PerceptionGaussian SplattingPoint CloudsBEVVoxel GridsUnityLarge-Scale TrainingFoundation ModelsMentoring Engineers

Key Responsibilities

•Define and drive technical direction for physical AI algorithms
•Define and execute 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 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

Senior Applied ScientistMachine LearningComputer VisionADASAutonomous DrivingPyTorchTransformerAmsterdamHybrid

Core Qualifications

Technical (Must-have)

Soft Skills

Technical LeadershipMentorship

Key Responsibilities

•Define and drive technical direction for physical AI algorithms

•Define and execute 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 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