Staff Applied Scientist
TomTom
Amsterdam, Netherlands
Posted on Friday, August 30, 2024
Are you ready to lead the next generation of AI-driven autonomous driving technologies, guiding a team at the cutting edge of machine learning and computer vision?
Join our innovative ADAS/ADS unit, where you'll be at the forefront of transforming cutting-edge scientific advancements into AI software solutions that drive the future of autonomous driving and real-time map generation.
As a Staff Applied Scientist, you will play a pivotal role in our multidisciplinary team, leading the development and deployment of advanced machine learning and computer vision systems.
What you'll do
- Lead and mentor a team of engineers and data scientists, guiding the design, implementation, and deployment of advanced AI systems.
- Architect and optimize machine learning (ML) and computer vision (CV) models for scalability, performance, and efficiency in autonomous driving applications.
- Manage the full lifecycle of ML and CV projects, from conception to deployment, ensuring alignment with business objectives and customer needs.
- Develop and refine systems for processing multisensory data, including LiDAR, RADAR, and camera inputs, with a focus on real-time mapping and geospatial processing.
- Optimize ML models for deployment on low-power embedded devices, balancing technical complexity with business considerations.
- Provide hands-on contributions while offering technical leadership, simplifying intricate technical challenges, and driving consensus in technical discussions.
- Develop automated approaches to harness data streams, improving the quality and efficiency of mapping processes.
- Initiate and drive new projects, using iterative development methodologies to enhance tools and technologies.
- Mentor junior scientists and engineers, fostering a culture of continuous learning and technical excellence.
What you'll need
- PhD or MS in computer vision, machine learning, or a related field, with multiple research publications or equivalent industry experience in autonomous driving and mapping challenges.
- Minimum 8 years of industry experience in applied science, focusing on ML and CV.
- Proven track record in leading ML research projects from inception to product integration.
- Strong proficiency in machine learning approaches, deep learning methodologies, and programming languages such as Python and C++.
- Experience with scalable backend systems and tools like Spark, Databricks, PyTorch, and TensorFlow.
- Deep understanding of data structures, algorithms, and their application in real-world problem-solving.
- Hands-on experience with sensor data processing, sensor fusion, and map-related technologies like SLAM and HD mapping.
- Demonstrated leadership experience, including team management, mentoring, and project leadership.
- Excellent communication skills, with the ability to articulate complex technical concepts clearly and collaborate effectively within a multidisciplinary team.
- Familiarity with tools and platforms such as Git, Docker, Kubernetes, Azure, AWS, Pandas, Scikit-learn, SciPy, NumPy, and OpenCV.
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 from home, the office, or even abroad – each team has the flexibility to choose how they work based on business needs.
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 3,700 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.
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