Senior AI Scientist - 3D ADAS Mapping

TomTom International BV; Amsterdam; Hybrid; EUR 140,000 - 200,000; Full time

Benefits offered by this job

Personal development budget

Paid learning days

Parental leave

Hybrid work model

Home office setup budget

Global mobility options

Holidays & time off

Hackathons & DevDays

Job summary

TomTom International BV in Amsterdam seeks an ML Staff Engineer to lead the algorithmic direction of our spatial awareness stack while remaining hands-on in model design, experimentation and performance gains.

You will mentor perception engineers, drive end-to-end ML roadmap for multi-modal fusion (camera, LiDAR, radar), and advance 3D scene understanding using transformers, diffusion, and world models. This is a high-ownership, high-velocity role with global automotive impact.

Qualifications

• 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision.
• Strong hands-on experience with modern deep learning architectures.
• Proven experience building and iterating on large-scale ML models.
• Strong mathematical foundations in optimization and probabilistic modeling.
• Track record of delivering measurable improvements in ML system performance.

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.
• 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

Machine learning

Vision transformers

PyTorch

Large-scale ML models

Reinforcement learning

Tools

PyTorch

Job description

TomTom International BV in Amsterdam seeks an ML Staff Engineer to lead the algorithmic direction of our spatial awareness stack while remaining hands-on in model design, experimentation and performance gains.

You will mentor perception engineers, drive end-to-end ML roadmap for multi-modal fusion (camera, LiDAR, radar), and advance 3D scene understanding using transformers, diffusion, and world models. This is a high-ownership, high-velocity role with global automotive impact.