Join our innovative team at our company, where you will play a pivotal role in developing advanced deep neural networks essential for our key products. You will join a collaborative team dedicated to developing real-time vision models that power the vehicle's understanding of its environment, combining research with hands-on product development. As part of our team, you will be responsible for the full cycle of deep learning R&D, modeling new solutions and enhancing the performance of existing ones, ensuring our solutions meet the needs of our company's autonomous vehicle technologies, advanced driver-assistance systems and external customers. This position offers the opportunity to be part of a fast-paced and forward-thinking environment, for those who are equally comfortable exploring new techniques and refining existing models to production-grade quality.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision
Conduct goal-oriented research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy
Optimize existing algorithms to improve performance and scalability
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research latest advancements in deep learning, multi-task learning, AI architectures and apply them to enhance our algorithms.
Requirements: M.Sc or Outstanding B.Sc. in Computer Science, Mathematics, Physics, or Engineering
Independent, creative, and innovative with strong problem-solving skills
Proficiency in Computer Vision, Machine Learning, and Deep Learning
Experience in developing deep learning algorithms in Python frameworks (PyTorch or Tensorflow).
This position is open to all candidates.