Senior Applied Scientist, Conversational AI ModEling and Learning (CAMEL), Conversational AI Modeling and Learning

The Alexa Conversational Assistants Services (CAS) org is looking for a Senior Applied Scientist with a background in Computer Vision, Natural Language Processing, and Large Language Models (LLMs). You will be working with a team of applied and research scientists to enhance existing features and explore new possibilities behind the new Alexa product.

Our goal is to make step function improvements in the use of advanced multi-modal LLM models on very large scale computer vision datasets. This is a rare opportunity to develop cutting edge Computer Vision and Deep Learning technologies and apply them to a problem of this magnitude.
Some exciting questions that we expect to answer over the next few years include:
* How can multi-modal inputs in LLMs help us deliver delightful conversational experiences to millions of Alexa customers?
* Can combining multi-modal data and very large scale LLM models help us provide a step-function improvement to the overall model understanding and reasoning capabilities?
We are looking for exceptional scientists who are passionate about innovation and impact, and want to work in a team with a startup culture within a larger organization. Please visit https://www.amazon.science for more information.

Basic Qualifications

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

Preferred Qualifications

- Experience with large scale distributed systems such as Hadoop, Spark etc.
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.
- PhD in Computer Vision, Robotics and/or Image Processing.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.