Applied Scientist II, SSG Science

Amazon; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Amazon Devices is seeking exceptional scientists to advance Gen AI on edge for consumer devices. You will quantize and optimize models for edge platforms, guided by a deep understanding of the Neural Edge Engine and related ML hardware.

You will collaborate with compiler engineers, hardware architects, and product teams to deploy production-ready AI systems. Join a world-class Applied Science team and contribute to open-source work and conference presentations, driving innovations that shape the

Qualifications

• 2+ years building models for business applications.
• PhD or MS + 4+ years CS/CE/ML experience.
• Publications or patents in top-tier venues.

Responsibilities

• Quantize, prune, distill, finetune Gen AI models for edge platforms.
• Understand Neural Edge Engine to invent optimizations.
• Map DL workloads to Neural Edge Engine and guide hardware.
• Train Gen AI models and publish/open-source.
• Collaborate with compiler engineers, hardware, product teams.
• Present at conferences like NeurIPS/ICLR/MLSys.

Skills

Model building

Math foundations

Patents/publications

Java/C++/Python

Algorithms & data structures

Parallel & distributed computing

Education

PhD or MS + 4+ years CS/CE/ML

Tools

Java

C++

Python

Job description

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state-of-the-art techniques that bring Gen AI on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co-designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.

Key job responsibilities

What will you do?

• Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
• Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
• Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
• Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
• Train custom Gen AI models that beat SOTA and paves path for developing production models
• Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML-centric solutions for our devices
• Publish in open source and present on Amazon’s behalf at key ML conferences - NeurIPS, ICLR, MLSys.

Basic Qualifications

• 2+ years of building models for business application experience
• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
• Strong foundation in relevant mathematical concepts (linear algebra, calculus, etc.)

Preferred Qualifications

• Experience in professional software development
• Prior experience in productionizing ML models and managing their full lifecycle from development to deployment

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.