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 (GenAI) in Computer Vision.
About the team
The AGI team has a mission to push the envelope with multimodal LLMs and GenAI 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