Senior ADAS ML Scientist: 3D Perception

Slashhash; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

TomTom is expanding its ADAS Online team to advance state-of-the-art machine learning for scene understanding and environmental awareness. The Senior Applied Scientist will set the algorithmic direction for the in-vehicle spatial awareness stack and stay hands-on in model design and evaluation.

Requires 7+ years in ML, vision transformers, diffusion, or computer vision with strong PyTorch expertise. Mentorship and technical leadership are key parts of the role at TomTom Amsterdam.

Qualifications

• 7+ years of experience in machine learning, vision transformers, diffusion, or computer vision.
• Strong PyTorch expertise and hands-on model development.
• Experience designing and evaluating 3D perception and planning systems.

Responsibilities

• Define and drive the technical direction for physical AI algorithms.
• Define and execute a technical roadmap towards state-of-the-art reinforcement learning with physical AI world models.
• Design, implement, and improve ML/vision transformer models for 3D awareness and planning.
• Architect multi-modal fusion (camera, LiDAR, RADAR) to build 3D environments.
• Identify opportunities for larger end-to-end models to replace traditional approaches.
• Apply advanced ML techniques to improve perception performance.
• Lead experiments and benchmarking to deliver measurable gains in accuracy and robustness.
• Translate research ideas into scalable ML solutions.
• Provide technical guidance and mentorship to perception engineers.

Skills

Machine Learning

Vision Transformers

Diffusion

Computer Vision

Deep Learning

Optimization

Probabilistic Modeling

Reinforcement Learning

Gaussian Splatting

Object Detection

Multi-Object Tracking

Semantic Segmentation

Occupancy Modeling

Multi-Modal Fusion

Tools

PyTorch

Unity

Foundation Models

Job description

TomTom is expanding its ADAS Online team to advance state-of-the-art machine learning for scene understanding and environmental awareness. The Senior Applied Scientist will set the algorithmic direction for the in-vehicle spatial awareness stack and stay hands-on in model design and evaluation.

Requires 7+ years in ML, vision transformers, diffusion, or computer vision with strong PyTorch expertise. Mentorship and technical leadership are key parts of the role at TomTom Amsterdam.