DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs an Senior Applied Scientist with the AGI team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in conversational AI.About the teamOur team’s mission is to deliver general-purpose multimodal foundation models enabling seamless speech-to-speech functions across a wide range of applications. We own pre-training (PT) and supervised fine-tuning (SFT) of LLMs. We partner with other teams to achieve state-of-the-art performance in all aspects of speech functions. We support product teams to deliver innovative conversational AI solutions to a broad set of customers and use cases.Basic Qualifications
3+ years of building machine learning models for business application experience
PhD, or Master's degree and 5+ 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 popular deep learning frameworks such as Pytorch and Tensor Flow
5+ years of building machine learning models for business application
Experience with generative models applicable to the creation of speech and text
Experience with conducting research
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Effective verbal and written communication skills with non-technical and technical audiences
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.
