Machine Learning Developer
Kela Technologies
- Where
- Tel Aviv, Israel, hybrid
- Language, from the listing
- No Hebrew mentionedA missing mention doesn't mean Hebrew isn't needed. Ask if it matters to you.
- Dates
- Found 1 Oct 2026
- Last checked on the employer's site
- 5 h ago (6 Oct 2026)
- Source
- Employer career page (Comeet)
What they ask for
- 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.
- Professional experience in Python, NumPy, and PyTorch or similar frameworks.
- Experience with machine learning, optimization, or probabilistic modeling is highly valued.
Nice to have
- Strong grasp of deep learning, model training, optimization, and evaluation; experience in computer vision is a major advantage.
The full listing
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.