At a Glance
- Tasks: Advance generative AI by developing compression techniques for on-device models.
- Company: Join Amazon Science in Cambridge, a leader in innovative AI research.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Exciting environment with chances to publish your work at leading ML venues.
- Why this job: Make a real impact in AI technology while collaborating with top experts.
- Qualifications: Experience in machine learning and a passion for hands-on experimentation.
The predicted salary is between 80000 - 100000 £ per year.
Amazon Science in Cambridge, UK is seeking a researcher to advance generative AI on devices and in the cloud.
You will develop compression and pruning techniques to dramatically reduce model size while preserving accuracy, and you will collaborate with Applied Scientists and engineers.
The role emphasizes hands-on experimentation, building reusable model entries, and publishing at top ML venues when appropriate.
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Edge AI Scientist: Compressing Models for On-Device GenAI in Cambridge employer: Amazon Science
Amazon Science in Edinburgh is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from opportunities for professional growth and development, while contributing to impactful projects that enhance recruitment technologies. With a focus on cutting-edge AI solutions, this role allows you to play a pivotal part in shaping the future of hiring at one of the world's leading companies.
