Sr. Principal Scientist, AWS Developer Agents and Experiences (DAE)
Amazon Web Services (AWS)Highlight
Summary
About the Role
About You
- PhD or Master's degree in Computer Science, Computer Engineering, Machine Learning, or a related field.
- Experience programming in Java, C++, Python, or a related language.
- Experience in AI (NLP or multi-modality models), Deep Learning, LLM model training, graph learning, or software engineering.
- 15+ years of relevant, broad research experience after PhD degree or equivalent.
- First author publications at Tier-1 ML conferences such as NeurIPS, ICLR, ICML, CVPR.
Benefits
- Comprehensive health insurance including medical, dental, and vision coverage.
- 401(k) matching and paid time off.
- Parental leave and adoption reimbursement coverage.
- Sign-on payments and restricted stock units (RSUs).
Launched in 2006, Amazon Web Services (AWS) began exposing key infrastructure services to businesses in the form of web services -- now widely known as cloud computing. The ultimate benefit of cloud computing, and AWS, is the ability to leverage a new business model and turn capital infrastructure expenses into variable costs. Businesses no longer need to plan and procure servers and other IT resources weeks or months in advance. Using AWS, businesses can take advantage of Amazon's expertise and economies of scale to access resources when their business needs them, delivering results faster and at a lower cost. Today, Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. With data center locations in the U.S., Europe, Singapore, and Japan, customers across all industries are taking advantage of our low cost, elastic, open and flexible, secure platform.