Machine Learning Developer
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Job overview
Kela Technologies is hiring a Machine Learning Developer. Kela is a defense technology startup developing next-generation command-and-control and data infrastructure systems. The company empowers 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. This role is in the Algorithms Department, solving mission-critical, real-world challenges at the forefront of national defense.
Key focus areas include Research, develop, and optimize sophisticated algorithms, from classical computer vision methods to advanced deep learning models and Build models and algorithmic pipelines for detection, classification, segmentation, and scene understanding in complex operational environments.
Successful candidates bring B.Sc. Or M.Sc. In Computer Science, Machine Learning, Data Science Or Related Field. Important skills include Deep Learning, Model Training, Performance Optimization, Evaluation, Python, and NumPy.
Skills & qualifications
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Full job description
Machine Learning Developer
- Engineering
- Tel Aviv (TLV)
- Entry-level
- Full-time Description 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.
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