AI Research Engineer developing sophisticated workflows leveraging LLM models at Cisco. Collaborating with teams to ensure security and scalability of AI solutions.
About the role
- Build neural networks for autonomous vehicle technology at Mobileye, focusing on deep learning model design and deployment. Collaborate with teams to ensure high-impact research solutions.
Responsibilities
- Join us to build the brain behind the car — a large-scale, multi-task neural network that powers the core of Mobileye’s autonomous stack.
- You’ll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions.
- From novel architectures and advanced training techniques to performance tuning under tight constraints, you’ll work closely with software and hardware teams to turn research into high-impact, production-ready systems.
Requirements
- PhD in Computer Science or a related discipline (exceptional MSc candidates will be considered).
- 4+ years of hands-on experience developing deep learning algorithms in Python.
- Experience building end-to-end DL pipelines: data preparation, training, evaluation, and deployment.
- Proficiency in at least one deep learning framework (e.g., TensorFlow, PyTorch).
- Excellent problem-solving skills and a research-oriented mindset.
Benefits
- As a central hub for deep learning innovation, we’re trusted with designing the core neural network architecture that powers the company’s flagship products.
- If you’re seeking a high-impact role among top-tier researchers and developers — this is the place to be.
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