Machine Learning Engineer at Salesforce AI Research working closely with teams to design agentic AI systems. Innovating at the frontier of AI with transformative solutions for Salesforce customers.
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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