Machine Learning Developer

Reposted One Month Ago
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Hiring Remotely in Tel Aviv, ISR
Remote or Hybrid
Mid level
Software
Battle-tested tech for modern warfare
The Role
Develop and optimize algorithms and ML pipelines for detection, classification, segmentation, and scene understanding. Conduct research on classical and deep learning methods, build and evaluate models for complex operational sensor data, and improve model training, optimization, and evaluation.
Summary Generated by Built In
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.

Skills Required

  • B.Sc. or M.Sc. in Computer Science, Machine Learning, Data Science, or related field.
  • Ability to deconstruct complex algorithmic and mathematical challenges.
  • Strong grasp of deep learning, model training, optimization, and evaluation.
  • Experience in computer vision.
  • Professional experience in Python, NumPy, and PyTorch or similar frameworks.
  • Experience with machine learning, optimization, or probabilistic modeling.
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The Company
97 Employees

What We Do

Battle-tested tech for modern warfare

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