You will be responsible for the full cycle for deep learning R&D: Modeling new outputs while thinking of algorithmic improvements to enhance the performance of existing ones, participating in innovative, cross-organizational initiatives.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems in the area of computer vision.
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy.
Collaborate with cross-functional teams tounderstand requirements and develop solutions.
Optimize existing algorithms to improve performance and scalability.
Research latest advancements in deep learning, multi-task learning, AI architectures and
Stay updated with the latest advancements in deep learning and apply them to enhance our algorithms.
All you need is:
B.Sc. in Computer Science or a related discipline.
Proven background in Computer Vision, Machine Learning, and Deep Learning.
5+ Years of proven experience in developing deep learning algorithms in Python.
Strong understanding and experience with computer vision.
Experience with implementing end-to-end deep learning pipelines, including data preparation, retraining, validation and deployment.
Proficiency with deep learning frameworks such as TensorFlow, Keras and PyTorch.
Independent, creative, and innovative with strong problem-solving skills.
Advantages:
M.Sc. or Ph.D. degree in Computer Vision, Deep Learning, or Machine Learning.
Proficiency with Linux environment, virtual environments, and Docker containers.
Background in autonomous vehicle technology and real-time systems.