Machine Learning Developer
Summary
Machine Learning Developer in Kela's Algorithms Department researches and builds computer-vision and deep-learning models that turn raw sensor data into real-time battlefield intelligence for defense customers. Day to day: developing and optimizing detection, classification and segmentation pipelines in Python, NumPy and PyTorch.
Kela is a defense technology startup pioneering next-generation command-and-control and data infrastructure systems. We empower defense organizations with robust, scalable, and secure platforms that integrate diverse sensors and AI to deliver real-time battlefield intelligence. Backed by leading investors, Kela combines Israeli innovation with global mission impact.
Join our Algorithms Department to solve mission-critical, real-world challenges. You will sit at the forefront of national defense, developing cutting-edge algorithms and AI systems that turn raw sensor data into actionable intelligence.
Responsibilities:
- Research, develop, and optimize sophisticated algorithms, from classical computer vision methods to advanced deep learning models.
- Build models and algorithmic pipelines for detection, classification, segmentation, and scene understanding in complex operational environments.
Requirements
- B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or a related field
- A natural ability to deconstruct complex, non-standard algorithmic and mathematical challenges.
- Strong grasp of deep learning, model training, optimization, and evaluation; experience in computer vision is a major advantage.
- Professional experience in Python, NumPy, and PyTorch or similar frameworks.
- Experience with machine learning, optimization, or probabilistic modeling is highly valued.