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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Staff Engineer - ADAS Online - **Company:** TomTom International BV - **Location:** Amsterdam, Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, Machine Learning, Object Detection, Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Gaussian, Data Analytics, Stable Diffusion, Lidar - **Published:** June 20, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=cd077013f2f1c131 ## About the Role Do you have experience in Unity?, * 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 * Track record of delivering measurable improvements in ML system performance * Experience guiding technical decisions within a small engineering team, * Experience in autonomous systems or robotics perception * Publications or patents in machine learning or perception * Experience with 3D data representations (gaussian spatting, point clouds, BEV, voxel grids) and 3D engines like Unity * Familiarity with large-scale training or foundation models * Experience mentoring engineers in advanced ML topics ## Description We are building a high-performance ADAS Online team focused on advancing state-of-the-art machine learning and AI algorithms for scene understanding and environmental awareness. As ML Staff Engineer, you will drive the algorithmic direction of our present and future in-vehicle spatial awareness stack while remaining deeply hands-on in model design, experimentation, and performance improvement. You will contribute as a senior technical authority and mentor within a small, high-velocity team. This spatial awareness stack will leverage modern transformer and end-to-end architectures to transform vehicle sensor data along with real-time 3D map data from the cloud into a 3D, semantically defined environment identifying all static and dynamic objects. This is a high-ownership technical role in a fast-moving, data-driven AI environment. What You'll Do * 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. These include Gaussian Splatting (3DGS), Diffusion, object detection, multi-object tracking, semantic segmentation, and occupancy modeling * Architect multi-modal fusion approaches (camera, LiDAR, RADAR) to build 3D environments * Per the roadmap, identify where larger end-to-end models should replace more 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 ## Related Videos - [How to develop an autonomous car end-to-end: Robotic Drive and the mobility revolution](https://www.wearedevelopers.com/videos/22-how-to-develop-an-autonomous-car-end-to-end-robotic-drive-and-the-mobility-revolution) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [WeAreDevelopers LIVE - Building The World’s Worst Image Editor™](https://www.wearedevelopers.com/videos/1836-wearedevelopers-live-building-the-world-s-worst-image-editor) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Confuse, Obfuscate, Disrupt: Using Adversarial Techniques for Better AI and True Anonymity](https://www.wearedevelopers.com/videos/1456-confuse-obfuscate-disrupt-using-adversarial-techniques-for-better-ai-and-true-anonymity) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How software is steering vehicle technology](https://www.wearedevelopers.com/magazine/515-how-software-is-steering-vehicle-technology) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Best Companies in the Netherlands: Top 25 Companies in 2023 ](https://www.wearedevelopers.com/magazine/193-best-companies-in-the-netherlands-top-25-companies-in-2023) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)