We’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.
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:
- 2+ years of industry experience in Deep Learning with a strong focus on Signal Processing or Computer Vision (must)
- B.Sc. in Electrical Engineering, Physics, or a related field (M.Sc. or Ph.D. is a plus).
- 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