AI Model Deployment Specialist
3 days ago
At Amazon, we're pushing the boundaries of what's possible with AI and machine learning. As an Applied Scientist on our Edge AI & ML team, you'll be at the forefront of innovation, working on technology that directly impacts millions of customers.
PurposeThis role offers a unique opportunity to revolutionize machine learning for edge devices. You'll work on developing cutting-edge compression algorithms that enable AI models to run efficiently on resource-constrained hardware.
Key Responsibilities- 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.
- Collaborate with product teams to integrate our technology into Amazon devices and services.
- 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.
To succeed in this role, you'll need:
- A PhD or Master's degree in Computer Science, Electrical Engineering, Machine Learning, or a related field, along with 4+ years of experience.
- Experience programming in Java, C++, Python, or a related language.
- Strong programming skills in Python and experience with deep learning frameworks like PyTorch or TensorFlow.
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
We're looking for candidates with:
- Experience using Unix/Linux.
- Experience in professional software development.
- 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).
We offer a competitive salary range of $149,300 - $249,300 per year, depending on your level of experience. Our total compensation package includes equity, sign-on payments, and other forms of compensation, as well as a full range of medical, financial, and/or other benefits.
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