DescriptionThe Artificial General Intelligence (AGI) team is looking for a highly-skilled Senior Applied Scientist, to lead the development and implementation of cutting-edge 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
We are open to hiring candidates to work out of one of the following locations:Bellevue, WA, USA | Boston, MA, USA | New York, NY, USA | Sunnyvale, CA, USABasic Qualifications
PhD, or Master's degree and 5+ years of applied research experience
4+ years of building machine learning models for business application experience
Experience programming in Java, C, Python or related language
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 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.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.