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Staff Applied Scientist

3 maanden geleden


Amsterdam, Noord-Holland, Nederland TomTom Voltijd

The Impact You Will Make:

  • Collaborating closely with a multidisciplinary team of engineers and data 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 realtime map generation.
  • Adapting and finetuning deep learning and machine learning models for seamless deployment on lowpower embedded devices, ensuring unmatched 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 headon.
  • 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 wellinformed tradeoffs 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 conferences or journals, or equivalent industry experience solving intricate AD and Mapping challenges
  • Profound expertise in various machine learning approaches and deep learning methodologies, allowing you to continually innovate and adapt in response to evolving technologies.
  • Demonstrated experience in architecting sophisticated software solutions and deep learning frameworks, along with a flair for designing efficient deployment pipelines.
  • An indepth understanding of sensor data processing, sensor fusion, and computer vision, especially in working with LiDAR, RADAR, and camera inputs.
  • Proficiency in maprelated technologies such as SLAM, HD mapping, and geospatial data processing, reinforcing your specialization in our unique domain.
  • Specialization in one or more areas, encompassing 2D/3D object detection, semantic/instance segmentation, and more.
  • A documented history of successfully steering ML research projects from inception to completion, covering problem formulation, experimentation, iteration, and eventual publication or product integration.
  • Proficiency in programming languages such as Python and/or C++, enabling the seamless development and implementation of your groundbreaking solutions.
  • 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 PyTorch, TensorFlow
  • Data Science and

Machine Learning:
Pandas, Scikit-learn, SciPy, NumPy, OpenCV etc

  • Tools: Git, Docker, Kubernetes, Azure, AWS etc