Applied Scientist

Key Skills

AWS, Azure, Databricks, Docker, GIS, Git, Hyperspectral , MLflow, NumPy, Pandas, PyTorch, QGIS - GIS application, Scikit-learn, SciPy, Spark-SQL

Job Description

The Impact You Will Make:

• As an Applied Scientist within our ADAS/ADS unit, you will be at the forefront of translating recent scientific advancements and cutting-edge technologies into real-world applications and products. Your impact will encompass:
• Collaborating closely with a multidisciplinary team of Engineers, Data Scientists, and Applied Scientists to transform scientific breakthroughs into Advanced AI software solutions.
• Utilizing your analytical skills to develop automated approaches that harness the full potential of data streams, optimizing the quality and efficiency of our mapping processes.
• Taking a leading role in designing and implementing advanced (AI-enabled) systems that leverage multisensory data and multimodality models, with a specialized focus on autonomous driving and real-time map generation.
• Applying deep learning methodologies and machine learning algorithms to develop pioneering systems that empower the capabilities of our real-time map creation.
• Adapting and fine-tuning deep learning and machine learning models for seamless deployment on low-power embedded devices, ensuring enhanced performance and operational efficiency.
• Driving transformative changes by taking ownership of your responsibilities, contributing to the elevation of team performance and successful project outcomes.
• Demonstrating adaptability through embracing iterative development methodologies and addressing evolving technical challenges head-on.
• Leading the initiation of new projects, positioning yourself as a key technical influencer within the unit and departments, and guiding strategic technology decisions.
• Balancing intricate technical decisions with their broader business and operational impacts, making well-informed trade-offs to effectively meet the company's overarching objectives.
• Crafting code and designing structures that promote collaborative teamwork and facilitate enhanced productivity and engagement among team members.
• Facilitating the resolution of contentious technical discussions by building consensus and showcasing your adeptness at leading through influence.

What You Will Need:

• A PhD or MS degree in computer vision, machine learning, or a related field, complemented by multiple research publications in top AI conferences (NeurIPS, ICML, ICLR, CVPR etc.) or journals, or equivalent industry experience solving intricate AD and Mapping challenges.
• Proficiency in programming languages such as Python and/or C++, enabling the seamless development and implementation of your solutions.
• An in-depth understanding of sensor data processing and multimodal sensor fusion, especially in working with Cameras and LiDAR. Prior experience with GIS and RADAR is a plus.
• Extensive expertise in various computer vision approaches and deep learning methodologies including image / point cloud registration and structure from motion, 2D / 3D object detection and segmentation, self-supervised learning, active learning, uni-/multi-modal foundation models etc., allowing you to continually innovate and adapt in response to evolving ADAS technologies.
• Keep abreast of related literature and a documented history of successfully steering ML research projects from inception to completion, covering problem formulation, experimentation, iteration, and eventual publication or product integration.
• Effective communication skills, encompassing both written and verbal proficiency, to clearly articulate complex technical concepts and collaborate harmoniously within a diverse team.
• Familiarity with programming tools and deep learning frameworks, including Git, OpenCV, PyTorch/TensorFlow etc.

Nice to have:

• Proficiency in map-related technologies such as SLAM, HD mapping, and geospatial data processing.
• Familiarity with Data Science and Machine Learning tools: Pandas, Scikit-learn, SciPy, NumPy, Databricks, Spark, MLFlow, Hyperoptetc.
• General software tools: Docker, Azure/AWS, GIS softwares like QGIS etc.

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're Product Unit Automation. We develop and operate map production systems for high-quality map data. This data goes on to power ADAS speed control, localization for L2+ robotics driving and more, helping TomTom on its mission to create the smartest, most useful map on the planet. In our team, you'll build data-oriented systems that leverage the freshest data through various sources, utilize machine learning techniques and improve themselves with quantitative and qualitative feedback.

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 3,800+ 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.