Senior AI Scientist - 3D Perception & Spatial AI

TomTom; Amsterdam; Hybrid; EUR 150,000 - 210,000; Full time

Benefits offered by this job

Development budget

Learning days & resources

Parental leave

Hybrid work model

Home office allowance

Global mobility opportunities

Annual hackathons & events

Inclusive culture

Job summary

TomTom is seeking an ML Staff Engineer to lead the algorithmic direction of our ADAS/ADS spatial awareness stack. You will stay hands-on in model design and experimentation, mentor a small high-velocity team, and drive the roadmap for 3D perception and multi-modal fusion using state-of-the-art transformer-based architectures.

You will shape scalable ML solutions, advance 3D map data processing, and collaborate with cross-functional experts to deliver robust perception systems for automotive

Qualifications

• 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision.
• Deep expertise in modern deep learning architectures.
• Strong hands-on experience with PyTorch (or equivalent frameworks).
• Proven experience building and iterating on large-scale ML models.
• Strong mathematical foundations in optimization and probabilistic modeling.

Responsibilities

• Define and drive the technical direction for physical AI algorithms.
• Define and execute a roadmap towards state-of-the-art world models using physical AI.
• Design, implement, and improve ML/vision transformer models for 3D awareness and planning.
• Architect multi-modal fusion approaches (camera, LiDAR, RADAR) for 3D environments.
• 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.

Skills

ML systems

Vision transformers

Diffusion

PyTorch

Large-scale models

Probabilistic modeling

Optimization

Tools

PyTorch

Unity

Job description

TomTom is seeking an ML Staff Engineer to lead the algorithmic direction of our ADAS/ADS spatial awareness stack. You will stay hands-on in model design and experimentation, mentor a small high-velocity team, and drive the roadmap for 3D perception and multi-modal fusion using state-of-the-art transformer-based architectures.

You will shape scalable ML solutions, advance 3D map data processing, and collaborate with cross-functional experts to deliver robust perception systems for automotive