At a Glance
- Tasks: Apply advanced compression methods for models in cloud and edge applications.
- Company: Join Amazon Science, a leader in generative AI technologies based in Cambridge, UK.
- Benefits: Collaborative environment focused on delivering innovative solutions to millions of customers.
- Other info: Position located in Cambridge, UK.
- Why this job: Contribute to cutting-edge model compression techniques that enhance efficiency and quality.
- Qualifications: Strong background in machine learning and experience with deep learning architectures required.
The predicted salary is between 60000 - 80000 £ per year.
Amazon Science is seeking an Applied Scientist in Cambridge, UK, to advance compression techniques for models across cloud and edge applications. This role involves applying advanced compression methods to achieve high efficiency while preserving model quality, contributing to the development of key generative AI technologies.
Successful candidates will possess a strong background in machine learning, with necessary programming skills and experience in deep learning architectures. Amazon offers a collaborative environment aimed at delivering innovative solutions to millions of customers worldwide.
Edge AI Scientist: 20x–100x Model Compression in Cambridge employer: Amazon Science
Amazon Science is at the forefront of generative AI technologies, offering a collaborative work environment. Located in Cambridge, UK, the team focuses on innovative solutions that impact millions globally. Employees benefit from working with advanced technologies and a diverse team of experts.
