FAQs
What is the role of a Senior Applied Scientist - Computer Vision at TomTom?
The role involves leading large-scale 3D reconstruction projects, developing algorithms for real-time processing, and tackling complex mapping challenges in the context of autonomous driving.
What qualifications are required for this position?
A PhD in Computer Vision, Machine Learning, or a related field focused on autonomous driving is required, along with 5+ years of professional experience in applied science roles.
What technical skills are necessary for this role?
Expertise in Python and Computer Vision libraries (e.g., OpenCV, PyTorch, TensorFlow), familiarity with large-scale systems and tools like Spark and Databricks, and knowledge of sensor data processing and mapping technologies are necessary.
What kind of projects will I be managing?
You will manage full project lifecycles, focusing on the development and optimization of Computer Vision models and systems for autonomous driving applications, particularly in real-time and scalable contexts.
Is mentoring part of the job responsibilities?
Yes, mentoring junior engineers and scientists is expected, contributing to a collaborative and growth-oriented team culture.
What benefits do you offer for professional development?
TomTom provides a personal development budget, paid leave for learning days, and access to e-learning resources such as O’Reilly and LinkedIn Learning.
How flexible is the work environment?
The work environment is hybrid, allowing employees to work from home and the office, with a requirement to be in the office two days a week.
Is there a focus on work-life balance?
Yes, TomTom supports work-life balance through enhanced parental leave, paid leave for caring for loved ones, and volunteer opportunities in local communities.
How does TomTom approach diversity and inclusion?
TomTom fosters an inclusive global culture that celebrates differences, welcoming individuals from diverse backgrounds and communities.
Will I have the opportunity to collaborate with a diverse team?
Yes, you will work with a diverse team of applied scientists, engineers, and data scientists across various nationalities and expertise levels.