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AI Researcher – World Model

Autobrains Technologies · Munich

Mid 🇬🇧 English
Python PyTorch deep learning computer vision transformers self-supervised learning homography PnP feature matching

Job description

About the role

Join our World Modeling team to advance cutting‑edge AI that fuses aerial imagery with live ground views, creating a rich, real‑time representation of a vehicle’s surroundings. You will translate ambitious research into production‑ready solutions that power cloud‑defined vehicle technology.

Key responsibilities

  • Design, implement, and evaluate state‑of‑the‑art deep learning models for computer vision tasks such as detection, segmentation, and transformer‑based architectures.
  • Convert research prototypes into clean, efficient, and scalable PyTorch code ready for deployment.
  • Experiment with novel ideas, self‑supervised learning methods, and push performance beyond current SOTA benchmarks.
  • Own the full development lifecycle—from concept and prototyping to production deployment on edge devices.

Required profile

  • M.Sc. in Computer Science, Electrical Engineering, or a related field from a leading university (Ph.D. is a plus).
  • Minimum 3 years of hands‑on experience in deep learning and computer vision using Python.
  • Proven track record of training and deploying high‑performance neural networks.
  • Full‑time availability to work onsite at our Tel Aviv headquarters.

Required skills

  • Python programming
  • PyTorch framework
  • Deep learning and computer vision techniques
  • Transformers and self‑supervised learning
  • Classical CV algorithms (homography, PnP, feature matching)
  • Optimized real‑time code for edge devices

What we offer

  • Opportunity to work on groundbreaking AI for autonomous vehicle perception.
  • Collaborative research environment with access to large‑scale aerial and ground datasets.
  • Support for publishing in top‑tier conferences and journals.

Questions fréquentes

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Published 3 months ago

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Autobrains Technologies

Munich