Senior Applied Scientist, Artificial General Intelligence

The Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of novel algorithms and push the boundaries of efficient inference for Generative Artificial Intelligence (GenAI) models.

As a Senior Applied Scientist, you will play a critical role in driving the development of GenAI technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences.

Key job responsibilities
- Design and execute experiments to evaluate the performance of different decoding algorithms and models, and iterate quickly to improve results
- Develop deep learning models for compression, system optimization, and inference
- Collaborate with cross-functional teams of engineers and scientists to identify and solve complex problems in GenAI
- Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team

Basic Qualifications

- PhD, or Master's degree and 5+ years of applied research experience
- 5+ years of building machine learning models for business application experience
- Experience programming in Java, C++, Python or related language
- Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

Preferred Qualifications

- PhD in Computer Science, Machine Learning, or a related field, with a focus on GenAI
- Demonstrated experience in developing and implementing decoding algorithms and knowledge of model compression, optimization, and inference
- Experience with Large Language Models (LLMs) and multimodal systems
- Strong programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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.