Sr. Applied Scientist, SSG Science
Description For Sr. Applied Scientist, SSG Science
Amazon Devices is seeking a Senior Applied Scientist to join their innovative team working on cutting-edge Gen AI technologies for edge devices. This role combines advanced machine learning expertise with hardware optimization, focusing on developing state-of-the-art techniques for Amazon's consumer products like Kindle, Fire TV, Echo, and Astro.
The position offers an exciting opportunity to work at the intersection of Gen AI and edge computing, where you'll be responsible for optimizing and developing next-generation edge models while collaborating with a diverse team of engineers and scientists. You'll be working on quantization, pruning, and fine-tuning of Gen AI models, while leveraging Amazon's proprietary Neural Edge Engine.
The ideal candidate should have a strong background in machine learning, with either a PhD or Master's degree plus extensive applied research experience. You'll be part of a team that values innovation and scientific contribution, with opportunities to publish research and present at major ML conferences like NeurIPS and ICLR.
This role offers competitive compensation ranging from $150,400 to $260,000 per year, depending on location and experience, plus additional benefits including equity, sign-on payments, and comprehensive medical coverage. You'll be working in the San Francisco Bay Area, contributing to Amazon's mission of developing revolutionary consumer devices while advancing the field of edge AI computing.
Responsibilities For Sr. Applied Scientist, SSG Science
- 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
- Train custom Gen AI models that beat SOTA and paves path for developing production models
- Collaborate with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams
- Publish in open source and present at key ML conferences
Requirements For Sr. Applied Scientist, SSG Science
- PhD, or Master's degree and 6+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
Benefits For Sr. Applied Scientist, SSG Science
- Full range of medical benefits
- Financial benefits
- Equity compensation
- Sign-on payments
