Staff Applied Scientist

1 dag geleden

Amsterdam, 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 real-time map generation.
- Adapting and fine-tuning deep learning and machine learning models for seamless deployment on low-power 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 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 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 in-depth understanding of sensor data processing, sensor fusion, and computer vision, especially in working with LiDAR, RADAR, and camera inputs.
- Proficiency in map-related 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

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