Applied Scientist, SSG Science
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering
In short
Responsibilities
- Quantize, prune, distill, and finetune Gen AI models for edge platforms.
- Understand Amazon's Neural Edge Engine to invent optimization techniques.
- Analyze deep learning workloads and map them to Amazon's Neural Edge Engine.
- Utilize principles of Information Theory, Scientific Computing, Deep Learning Theory, and Non-Equilibrium Thermodynamics.
- Train custom Gen AI models that achieve state-of-the-art results.
- Collaborate with compiler engineers, Applied Scientists, Hardware Architects, and product teams.
- Publish in open source and present at ML conferences like NeurIPS, ICLR, MLSys.
Requirements
- Bachelor's degree in computer science, mathematics, statistics, machine learning, or equivalent quantitative field.
- Experience programming in Java, C++, Python, or a related language.
Desired Qualifications
- Experience implementing algorithms using both toolkits and self-developed code.
- Publications at top-tier peer-reviewed conferences or journals.
Skills
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. We are driven by the excitement of building technologies, inventing products, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope and capabilities of a large company, and the spirit and heart of a small one.\n\nTogether, Amazonians research and develop new technologies from Amazon Web Services to Alexa on behalf of our customers:…
Company
AmazonJob Posted
1 day ago
Employment Type
Full Time
Work mode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Applicants
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