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Mobileye
Mobileye
1.001 – 5.000 Angajați
Sponsor pentru viza H1BIndustria autoIndustria prelucrătoareInteligență artificială
Mobileye dezvoltă sisteme avansate de asistență pentru șofer și tehnologii pentru conducerea autonomă destinate industriei auto. Compania combină viziunea computerizată, inteligența artificială, componentele hardware brevetate și software-ul pentru a sprijini siguranța vehiculelor în aplicații care variază de la asistența pentru șofer până la operarea autonomă. Sistemele sale au fost implementate în peste 190 de milioane de vehicule, reflectând rolul Mobileye în aducerea tehnologiilor auto bazate pe viziune la producția pe scară largă.
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Locurile de muncă ale companiei

Senior Deep Learning Researcher, Autonomous Vehicles

Research and develop deep learning systems for Mobileye’s autonomous vehicles, including large-scale neural networks built for its EyeQ chip. Improve model performance and bring research into production.

ILIsraelHibridNormă întreagăSeniorLimbă Obligatorie: englezăCercetător științific în domeniul IAInginer de învățare automată
AWSCloudDockerLinuxPythonPyTorchTensorFlow

Descriere

  • Develop and train deep learning models optimized for Mobileye’s custom EyeQ chip.
  • Create large-scale, multi-task neural networks for Mobileye’s autonomous driving system.
  • Solve end-to-end deep learning problems and deploy solutions in real-world systems.
  • Design new model architectures and use advanced training methods.
  • Optimize model performance within strict constraints.
  • Partner with software and hardware teams to turn research into production systems.
  • Help shape the core neural network architecture used in Mobileye’s flagship autonomous vehicle products.

Cerințe

  • PhD in Computer Science or a related field; exceptional candidates with an MSc may be considered.
  • At least 4 years of hands-on experience developing deep learning algorithms in Python.
  • Experience building end-to-end deep learning pipelines covering data preparation, training, evaluation, and deployment.
  • Proficiency with at least one deep learning framework, such as TensorFlow or PyTorch.
  • Strong problem-solving skills and a research-focused approach.
  • Industry experience in deep learning or software development is an advantage.
  • Familiarity with hardware-aware model optimization is an advantage.
  • Experience with cloud platforms such as AWS, Docker, and Linux environments is an advantage.
  • Publications or contributions in deep learning, neural architecture search, knowledge distillation, or multi-task learning are an advantage.

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