Machine Learning Engineer for Edge AI
1 week ago
About the Role:
Amazon is seeking a highly skilled Machine Learning Engineer to join its Edge AI team. As an Applied Scientist, you will be responsible for developing and implementing novel algorithms for compressing and optimizing deep learning models for edge devices.
Your Key Responsibilities:
- Develop and implement novel compression algorithms for deep learning models
- 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 for edge computing
Required Skills and Qualifications:
To succeed in this role, you will need:
- 3+ years of building models for business applications
- A PhD or Master's degree in Computer Science, Electrical Engineering, or related field
- Experience with programming languages like Java, C++, Python
- Familiarity with deep learning frameworks like PyTorch or TensorFlow
Benefits:
As an Amazon employee, you will enjoy a range of benefits, including:
- A competitive salary ranging from $149,300/year to $249,300/year
- An opportunity to work on cutting-edge technology that impacts millions of customers
- A dynamic and inclusive work environment
About Amazon:
Amazon is committed to innovation and customer satisfaction. With a focus on delivering exceptional experiences, we are constantly pushing the boundaries of what is possible with AI and machine learning.
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