Applied Scientist, SSG Science
Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Datavetenskap · Mjukvaruutveckling
I korthet
Amazon seeks an Applied Scientist to develop cutting-edge Gen AI models for consumer products, optimizing them for edge platforms and collaborating with hardware architects. The role involves fundamental research in deep learning theory and scientific computing to advance machine learning on custom hardware.
Ansvarsområden
- Quantize, prune, distill, and finetune Gen AI models for edge platforms.
- Understand and invent optimization techniques for Amazon’s Neural Edge Engine.
- 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 performance.
- Collaborate with compiler engineers, Applied Scientists, Hardware Architects, and product teams.
- Publish in open source and present at ML conferences like NeurIPS, ICLR, MLSys.
Krav
- 2+ years of building machine learning models for business applications.
- 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.
- Proficiency in Java, C++, Python, or related languages.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Strong foundation in relevant mathematical concepts including linear algebra and calculus.
Önskade kvalifikationer
- Experience in professional software development.
- Prior experience in productionizing ML models and managing their full lifecycle.
Förmåner
- Inclusive culture
- Opportunity to develop state-of-the-art techniques for Gen AI on edge
- Work on revolutionary ML HW architecture
- Publish in open source and present at key ML conferences
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