Applied Scientist II, SSG Science

Amazon Inc.; Asti; On-site; EUR 95,000 - 130,000; Full time

Job summary

Amazon Inc. is seeking exceptional scientists to advance Gen AI on edge devices. You will quantize, prune, and fine-tune models for edge platforms and collaborate with compiler engineers, hardware architects, and product teams to deliver ML-centric solutions for consumer devices.

Applicants should have PhD or Master’s with 4+ years in CS/CE/ML and a strong math foundation. Publications or patents are valued. Expect a challenging, innovative environment in Italian operations.

Qualifications

• 2+ years of building models for business applications.
• PhD, or Master's +4 years in CS/CE/ML or related field.
• Publications or patents in top-tier venues.
• Experience in Java, C++, Python or related language.
• Strong background in linear algebra, calculus, and related math.

Responsibilities

• Quantize, prune, distill, and finetune Gen AI models for edge platforms.
• Understand and optimize Neural Edge Engine tech stack.
• Analyze workloads and map to edge engine capabilities.
• Collaborate with compiler engineers, hardware architects, and product teams.
• Publish work in open source and present at ML conferences.

Skills

Java

C++

Python

ML/DL fundamentals

Algorithms

Statistics/Math

Model building

Education

PhD

Master's + 4+ years CS/CE/ML

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 pave 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.