M
Senior Deep Learning Researcher
On-siteFull-timeAI & Machine LearningAutomotive
Join an autonomous driving technology team developing large-scale, multitask neural networks for production systems and custom AI hardware.
Responsibilities
- Design and train large-scale, multitask deep learning models.
- Develop neural network architectures for autonomous driving applications.
- Build production-ready deep learning solutions for custom AI hardware.
- Optimize model performance under hardware and system constraints.
- Develop end-to-end pipelines from data preparation through deployment.
- Collaborate with software and hardware engineering teams on real-world AI systems.
Requirements
- PhD in computer science or a related discipline; exceptional MSc candidates 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-oriented mindset.
Nice to have
- Industry experience in deep learning or software development.
- Experience with hardware-aware model optimization.
- Familiarity with AWS, Docker, and Linux.
- Publications or contributions in deep learning, neural architecture search, knowledge distillation, or multitask learning.