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Staff Applied Scientist

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TomTom

13d ago

  • Job
    Full-time
    Senior Level
  • Data
    Engineering
  • Amsterdam
  • Quick Apply

AI generated summary

  • You should have a PhD/MS in CV/ML, 8+ years in applied science, project leadership experience, proficiency in Python/C++, deep learning tools, sensor data processing, and excellent communication skills.
  • You will lead a team in designing and deploying AI systems, optimize ML/CV models, manage project lifecycles, process multisensory data, and mentor junior staff while driving new initiatives.

Requirements

  • 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.

Responsibilities

  • 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.

FAQs

What is the main focus of the Staff Applied Scientist role?

The main focus is to lead the development and deployment of advanced machine learning and computer vision systems for AI-driven autonomous driving technologies.

What qualifications are required for this position?

A PhD or MS in computer vision, machine learning, or a related field is required, along with a minimum of 8 years of industry experience in applied science focusing on ML and CV.

What programming languages should candidates be proficient in?

Candidates should have strong proficiency in programming languages such as Python and C++.

Is experience with sensor data processing necessary for this role?

Yes, hands-on experience with sensor data processing, sensor fusion, and map-related technologies like SLAM and HD mapping is required.

What types of projects will the Staff Applied Scientist be managing?

The Staff Applied Scientist will manage the full lifecycle of machine learning and computer vision projects, from conception to deployment.

What kind of leadership experience is expected for this role?

The role requires demonstrated leadership experience, including team management, mentoring, and project leadership.

Are there opportunities for professional development in this position?

Yes, there are time and resources for professional growth, including a personal development budget and paid access to e-learning resources.

How does the company support work-life balance?

The company supports work-life balance with enhanced parental leave, paid leave to care for loved ones, and volunteer opportunities in local communities.

What tools and platforms should candidates be familiar with?

Candidates should be familiar with tools and platforms such as Git, Docker, Kubernetes, Azure, AWS, Pandas, Scikit-learn, SciPy, NumPy, and OpenCV.

What size is the team within the ADAS/ADS unit?

The team consists of a diverse group of applied scientists, engineers, and data scientists.

Does TomTom prioritize diversity and inclusion in its workforce?

Yes, TomTom is an equal opportunity employer and celebrates differences, welcoming diverse backgrounds and experiences.

Are there options for remote work?

Yes, teams have the flexibility to work from home, the office, or even abroad, based on business needs.

TomTom

Technology
Industry
1001-5000
Employees
1991
Founded Year

Mission & Purpose

TomTom is a global leader in location technology, specialising in GPS navigation, mapping, and real-time traffic information. The company develops advanced software and hardware solutions that power navigation for automotive, mobility, and enterprise sectors. TomTom's mission is to create a safer, cleaner, and less congested world by innovating location technologies that improve traffic flow, enhance driver safety, and reduce emissions. Their purpose is to enable smarter mobility, ensuring efficient travel for people, businesses, and cities worldwide.