Description

　　The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems.

　　Key job responsibilities

　　As a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) in Computer Vision.

　　About the team

　　The AGI team has a mission to push the envelope with multimodal LLMs and Gen AI in Computer Vision, in order to provide the best-possible experience for our customers.

　　We are open to hiring candidates to work out of one of the following locations:

　　Cambridge, MA, USA | New York, NY, USA | Seattle, WA, USA | Sunnyvale, CA, USA

　　Basic Qualifications

　　PhD, or Master's degree and 5+ years of applied research experience

　　3+ years of building machine learning models for business application experience

　　Experience programming in Java, C++, Python or related language

　　Preferred Qualifications

　　PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field

　　Experience in patents or publications at top-tier peer-reviewed conferences or journals

　　Experience with popular deep learning frameworks, including PyTorch

　　Experience with learning multimodal LLMs and Gen AI in Computer Vision, both in the image and video domains

　　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 $136,000/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. Applicants should apply via our internal or external career site.