Sr. Applied Scientist, AWS Prototyping

Core to Amazon’s DNA is its methodology around executing experiments and prototypes to find the quickest way to prove new ideas, technologies, and business models in a real-world environment. Experimentation fuels Amazon’s innovation. If you are a highly creative problem solver who works to inspire, motivate, and define cutting edge solutions; are passionate about technology, understand cloud architectures & platforms, and are quick to pick up emerging technologies; are adept at working with customers to experiment with innovative approaches, and validate the technical feasibility of solutions - this could be the role for you!

Prototyping at AWS helps customers envision complex uses of AWS Services by building working prototypes of specific customer use cases, tailored to their data, devices and systems. Prototyping engagements are designed to be innovative and evaluative, demonstrating "the art of the possible" on AWS.

This job can be based in any of these EMEA cities: London, Paris, Munich, Amsterdam, Stockholm.


Key job responsibilities
* As a key member of the AWS Specialist Prototyping team, ensure customer success through hands-on participation producing and demonstrating Prototypes on the AWS platform.
* Participate in deep architectural design discussions to ensure Prototypes are crafted for successful deployment in the cloud.
* Conduct one-to-few and one-to-many training sessions to transfer knowledge to Prototyping customers, and internal business partners
* Act as a Thought Leader for your area of domain expertise across AWS, and share best-practice knowledge among the community.
* Author or otherwise contribute to AWS customer-facing publications such as peer reviewed position papers, blogs, etc.
* Act as a technical liaison between customers, service engineering teams, and sales.

BASIC QUALIFICATIONS

- Experience programming in Java, C++, Python or related language
- Experience in building machine learning models for business application
- Experience using managed ML/AI solutions
- PhD or Master's degree with extensive applied research experience

PREFERRED QUALIFICATIONS

- Experience with neural deep learning methods and machine learning
- Familiarity with distributed training, inference, acceleration method/implementation/library for LLMs or large-scale ML in general.