Design, develop, and optimize deep learning models that extract complex, dynamic insights from real-world scenes.
Collaborate across teams to solve key technical challenges and ensure model scalability.
Research and integrate the latest advancements in multi-task learning, temporal analysis, and AI architectures into our solutions.
Enhance and refine algorithmic performance through rigorous experimentation and innovation.
Develop primarily in Python, with occasional work in C++.
Work environment: Hybrid schedule: 4 days in-office (Tel Aviv or Jerusalem) and 1 day remote.
All you need is:
. in Computer Science or a related field.
3+ years of experience developing deep learning algorithms in Python, including end-to-end pipeline implementation (data preparation, training, validation, and analysis).