Applied Scientist, SSG Science
Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning
In short
Amazon is seeking an Applied Scientist to develop advanced Gen AI on edge for consumer products, focusing on optimizing edge models and co-designing with custom ML hardware. The role involves deep understanding of neural engines, applying scientific principles, and collaborating with cross-functional teams to build production-ready ML solutions.
Responsibilities
- Quantize, prune, distill, and finetune Gen AI models for edge platforms.
- Understand Amazon's Neural Edge Engine to invent optimization techniques.
- Analyze deep learning workloads and map them to Amazon’s Neural Edge Engine.
- Apply principles from Information Theory, Scientific Computing, Deep Learning Theory, and Non Equilibrium Thermodynamics.
- Train custom Gen AI models that surpass state-of-the-art and pave the way for production models.
- Collaborate with compiler engineers, Applied Scientists, Hardware Architects, and product teams.
- Publish in open source and present at ML conferences like NeurIPS, ICLR, and MLSys.
Requirements
- 2+ years of experience building models for business applications.
- PhD, or Master's degree and 4+ years of experience in CS, CE, ML, or related fields.
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Proficiency in programming languages such as Java, C++, or Python.
- Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Strong foundation in mathematical concepts like linear algebra and calculus.
Desired Qualifications
- Experience in professional software development.
- Prior experience in productionizing ML models and managing their full lifecycle.
Benefits
- Inclusive culture that empowers Amazonians.
- Opportunity to work on state-of-the-art techniques for Gen AI on edge.
- Develop next generation of edge models and optimize them.
- Co-design with custom ML HW based on a revolutionary architecture.
#Gen AI#edge models#ML HW#Neural Edge Engine#Information Theory#Scientific Computing#Deep Learning Theory#Non Equilibrium Thermodynamics#ML conferences#NeurIPS#ICLR#MLSys
Company
Amazon
Job Posted
2 weeks ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Qualification
Master, Doctoral
Applicants
Be an early applicant