Mobileye
Mobileye
Mobileye ऑटोमोटिव उद्योग के लिए उन्नत ड्राइवर-सहायता प्रणालियाँ और स्वायत्त ड्राइविंग तकनीक विकसित करती है। कंपनी कंप्यूटर विज़न, कृत्रिम बुद्धिमत्ता, स्वामित्व वाले हार्डवेयर और सॉफ़्टवेयर को मिलाकर ड्राइवर सहायता से लेकर स्वायत्त संचालन तक के अनुप्रयोगों में वाहन सुरक्षा को बेहतर बनाने में मदद करती है। इसकी प्रणालियाँ 190 मिलियन से अधिक वाहनों में तैनात की जा चुकी हैं, जो विज़न-आधारित ऑटोमोटिव तकनीकों को बड़े पैमाने पर उत्पादन तक पहुँचाने में Mobileye की भूमिका को दर्शाता है।

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.

विवरण

  • 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.

आवश्यकताएँ

  • 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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