Applied Scientist, SSG Science

Amazon; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Amazon Devices is seeking exceptional scientists to join the Applied Science team, focusing on Gen AI on edge for consumer devices and co-design with ML HW. You will work on quantization, pruning, distillation, and training of production-grade models for edge platforms.

The role requires strong ML background, PhD or MSc with research, and experience publishing or patenting work. Join a team that publishes and presents at top conferences and collaborates across engineering and product groups.

Qualifications

• 2+ years building ML models for business use.
• PhD or Master plus 2+ years applied research.
• Publications or patents in top venues preferred.
• Proficiency in Java, C++, Python or similar.
• Strong math background: linear algebra, calculus, statistics.

Responsibilities

• Quantize, prune, distill, and finetune Gen AI models for edge devices.
• Understand and optimize Neural Edge Engine concepts.
• Map deep learning workloads to edge hardware and software.
• Apply information theory, scientific computing, and DL theory to models.
• Train Gen AI models that beat SOTA and aid production models.
• Collaborate with compiler engineers, hardware architects, and product teams.
• Publish open-source work and present at ML conferences (NeurIPS, ICLR, MLSys).

Skills

ML programming

Java/C++/Python

Mathematics

Publications/patents

Algorithms & data structures

Education

PhD or MSc + 2+ years research

Tools

None

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 machine learning models for business application experience
• PhD, or Master's degree and 2+ years of applied research 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.