Amazon Applied Scientist Edge AI & ML 

Canada, British Columbia, Vancouver 

139067977

Your work will:- Push the boundaries of what's possible with edge computing and machine learningKey job responsibilities
As an Applied Scientist on the Edge AI ML team, you will:- Develop and implement novel algorithms for compressing and optimizing deep learning models for edge devices
- Conduct experiments to evaluate and benchmark model performance across various hardware platforms- Innovate on techniques to achieve state-of-the-art efficiency in AI model deployment
- Explore and adapt emerging ML architectures (e.g., transformers, neural architecture search) for edge computing
- Investigate hardware-aware ML techniques to tailor models for specific edge devices- A culture of innovation that encourages new ideas and approaches

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Strong programming skills in Python and experience with deep learning frameworks like PyTorch or TensorFlow

- Experience using Unix/Linux
- Experience in professional software development
- Experience with model compression techniques like pruning, quantization, and knowledge distillation
- Familiarity with deploying ML models on edge devices or mobile platforms
- Background in optimization, information theory, or signal processing
- Track record of developing novel ML algorithms and seeing them through to practical implementation
- Publication record in top-tier ML conferences (e.g. NeurIPS, ICML, ICLR)