What will your job look like?
- 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:
- M.Sc. 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).
- Advantages:
- PhD in Computer Science or a related discipline.
- Experience with cloud platforms such as AWS.
0 applies
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