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

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

A competitive compensation package
Time and resources to grow and develop, including a personal development budget and paid leave for learning days
Paid access to e-learning resources such as O’Reilly and LinkedIn Learning
Enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities
Work flexibility, where TomTom’ers can use both the office and home to focus, collaborate, learn and socialize
Improve your home office with a setup budget and get extra support with a monthly allowance
Options to work from your home country and abroad for a set number of days each year
Competitive holiday plan, plus an extra day off to celebrate your birthday
Join annual events like our Hackathon and DevDays to bring your ideas to life with talented teammates from around the world
Become a part of our inclusive global culture

Machine Learning Staff Engineer – ADAS Online

Key skills