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Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
Full-time
Competitive Compensation Package, Personal Development Budget, Paid Learning Days, E-learning Resources (O’Reilly, LinkedIn Learning), Enhanced Parental Leave, Paid Care Leave
Posted 57d ago
~40 hrs/week
Responsibilities
Drive the technical direction and roadmap for physical AI algorithms and 3D spatial awareness stacks for ADAS. Design and implement advanced ML models using transformers and multi-modal fusion to identify static and dynamic objects in real-time.
Requirements
Requires over 7 years of experience in machine learning, computer vision, or vision transformers with deep expertise in PyTorch. Candidates must have a strong mathematical foundation in optimization and a proven track record of delivering large-scale ML models.
Full job 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.
\nWhat 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
What You'll Need
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
What's Nice to Have
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
\n
What we offer
A competitive compensation package, of course.
Time and resources to grow and develop, including a personal development budget and paid leave for learning days, as well as paid access to e-learning resources such as O’Reilly and LinkedIn Learning.
Time to support life outside of work, with enhanced parental leave plus paid leave to care for loved ones and volunteer in local communities.
Work flexibility, where TomTom’ers, in agreement with their manager and team, use both the office and home to focus, collaborate, learn and socialize. It’s all about getting the best out of both worlds – we ask TomTom’ers to come to the office two days a week, and the remaining three are free to be worked in either location.
Improve your home office with a setup budget and get extra support with a monthly allowance.
Enjoy options to work from your home country and abroad for a set number of days each year, to visit family and friends, or to simply explore the world we’re mapping.
Take the holidays you want with a 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 and have the chance to collaborate with a diverse community – we have over 80 nationalities at TomTom!
Find out more about our global benefits and enjoy additional local benefits tailored to your location.
Meet your team
We are the ADAS & ADS Product Unit, leading the production of TomTom’s HD maps and ADAS technology.
In a diverse team of applied scientists, engineers, data scientists, and more, equipped with a broad array of expertise, you’ll collaborate on groundbreaking location-based technologies and applications.
More specifically, you’ll be at the forefront of the creation of advanced HD maps. You’ll also help update these in real-time, ensuring our maps are pushing the world forward instantly. These maps will then go on to empower the largest car manufacturers, transportation giants, and major tech companies around the world.
At TomTom...
You’ll help people find their way in the world. In 2004, TomTom revolutionized how the world moves with the introduction of the first portable navigation device. Now, we intend to do it again by engineering the first-ever real-time map, the smartest and most useful map on the planet.
Work with a team of 3,300+ unique, curious and passionate problem-solvers. Together, we’ll open up a world of possibilities for car manufacturers, enterprises and developers to help people understand and get closer to the world around them.
After you apply
Our recruitment team will work hard to give you a meaningful experience throughout your journey with us, no matter the outcome. Your application will be screened closely and you can rest assured that all follow-up actions will be thorough, from assessments and interviews all the way through onboarding. To find out more about our application process, check out our hiring FAQs.
TomTom is an equal opportunity employer
TomTom is where you can find your place in the world. Every day we welcome, nurture and celebrate differences. Why? Because your uniqueness is what makes you, you. No matter your culture or background, you’ll find your impact at TomTom. Research also shows that sometimes women and underrepresented communities can be hesitant to apply for positions unless they believe they meet 100% of the criteria. If you can relate to this, please know that we’d love to hear from you.
Billions of data points. Millions of sources. Thousands of communities.
We are the mapmaker bringing it all together to build the world’s smartest map.
TomTom Orbis Maps are the new standard in mapmaking, co-created with the biggest names in tech. It’s a future-proof mapping platform set to drive innovation at a faster pace and on a bigger scale than ever before.
Together with our world-leading maps, we provide location data and tech to drivers, carmakers, businesses and developers. Our maps, routing, real-time traffic, APIs and SDKs empower the dreamers and doers to keep the world moving.
Headquartered in Amsterdam, TomTom is a global team of 3,700 people. We’ve been shaping the future of mobility for over 30 years – and our journey is just getting started.
Offices: De Ruijterkade 154, Amsterdam, North Holland 1011 AC, NL
TechnologyNavigation products and servicesMapsTrafficand SoftwareMapping ServicesConsultingSoftwareHardwareLocation Based Services