Deep Learning Researcher
פורסם אתמול · 0 מועמדים
- 5+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision
- Ph.D in Electrical Engineering, Physics, or a related field
- Solid foundation in signal processing
- Proficiency in Python
- Proficiency in major DL frameworks (PyTorch/TensorFlow)
- Experience with radar signal processing
חולץ מתיאור המשרה · מתעדכן אוטומטית
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןWe’re looking for a Deep Learning Algorithm Engineer to join a cutting-edge team driving R&D innovation in signal processing and radar-based systems. In this role, you will lead the end-to-end development of deep learning models, from data strategy and model training to deployment in real-world defense applications.
##This is a hybrid position requiring 3 days per week in our Ashdod office and 2 days per week in our Tel Aviv office.
Responsibilities include:
• Design and implement state-of-the-art DL algorithms for diverse data formats, including 2D spectral representations, 3D point clouds etc.
• Develop scalable pipelines for training, evaluation, data labeling and preprocessing
• Train and optimize models using frameworks like PyTorch/TensorFlow
• Conduct literature reviews and stay on top of the latest AI trends
• Prepare models for integration and deployment in production environments
Requirements:
• 5+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must)
• Ph.D in Electrical Engineering, Physics, or a related field.
• Solid foundation in signal processing
• Experience with radar signal processing (advantage)
• Proficiency in Python and major DL frameworks
• Excellent analytical thinking and problem-solving
• Independent and proactive
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 5+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision, Ph.D in Electrical Engineering, Physics, or a related field, Solid foundation in signal processing, Proficiency in Python, Proficiency in major DL frameworks (PyTorch/TensorFlow)