Senior Applied Scientist – Computer Vision

Job title:

Senior Applied Scientist – Computer Vision

Company:

TomTom

Job description

Are you ready to lead the next wave of advancements in autonomous driving?At TomTom, we’re on a mission to transform groundbreaking scientific advancements into real-world HD mapping solutions that power the future of autonomous vehicles.As a Senior Applied Scientist specializing in Computer Vision, you’ll be the driving force behind large-scale 3D reconstruction projects and develop advanced algorithms for real-time processing. You’ll work in a collaborative, fast-paced environment that values agility and real results, enabling you to lead from the front in solving complex mapping challenges.Ready to make a real difference? Let’s get started! \nWhat you’ll do:

• Drive the development and optimization of Computer Vision models for autonomous driving applications, focusing on real-time, scalable solutions.
• Enhance real-time systems for processing LiDAR and camera data, with a focus on geospatial accuracy and 3D mapping.
• Architect and optimize scalable, high-performance ML/CV models tailored for autonomous driving applications.
• Manage full project lifecycles, ensuring alignment with business goals and customer needs.
• Fine-tune by fine-tuning Computer Vision algorithms, balancing performance with business requirements.
• Drive automation initiatives to streamline data processing and boost mapping efficiency.
• Provide technical leadership, guiding complex discussions and facilitating team alignment.
• Champion iterative methodologies, fostering a culture of continuous innovation.
• Mentor junior engineers and scientists, contributing to a growth-oriented and collaborative team culture.

What you’ll need:

• Educational background: PhD in Computer Vision, Machine Learning, or related fields with a focus on autonomous driving.
• Professional experience: 5+ years in applied science roles, with expertise in delivering Computer Vision projects from concept to deployment.
• Technical skills: Expertise in Python and Computer Vision libraries (e.g., OpenCV, PyTorch, TensorFlow).
• Scalability & performance: Familiarity with large-scale systems and tools like Spark and Databricks.
• Algorithm expertise: Profound understanding of data structures and algorithms to solve practical challenges.
• Sensor & mapping knowledge: Hands-on experience with sensor data processing, sensor fusion, and mapping technologies (e.g., SLAM, HD mapping).
• Communication skills: Ability to explain complex technical concepts to cross-functional teams effectively.
• Tech stack familiarity: Working knowledge of Git, Docker, Kubernetes, and cloud platforms (e.g., Azure, AWS).

\nWhat we offerA 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 and enjoy additional local benefits tailored to your location.Meet your teamWe 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 applyOur 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 .TomTom is an equal opportunity employerTomTom 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.

Expected salary

Location

Madrid

Job date

Fri, 15 Nov 2024 07:21:31 GMT

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