Job Information
Amazon Applied Scientist, Ambient Perception Technology in Sunnyvale, California
Description
The Ambient Perception Technology team under Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to help build industry-leading technology with computer vision and multimodal perception models for cloud and edge applications.
Key job responsibilities
As an Applied Scientist with the Ambient Perception Technology team under AGI, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with multimodal models with an emphasis on computer vision. Your work will directly impact our customers in the form of products and services that make use of CV technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in within perception domain.
A day in the life
An Applied Scientist with the AGI team will support the science solution design, run experiments, research new algorithms, and find new ways of optimizing the customer experience; while setting examples for the team on good science practice and standards. Besides theoretical analysis and innovation, an Applied Scientist will also work closely with talented engineers and scientists to put algorithms and models into practice.
About the team
The Ambient Perception Technology team has a mission to deliver best in class CV, Audio and multimodal models in support of various edge and cloud applications.
We are open to hiring candidates to work out of one of the following locations:
Sunnyvale, CA, USA
Basic Qualifications
PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience
1+ years of building models for business application experience
Experience programming in Java, C++, Python or related language
Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms
Preferred Qualifications
Have publications at top-tier peer-reviewed conferences or journals
Experience in Vision Language Models, Audio-Video fusion and multi-modal LLMs
Experience with optimizing computer vision models for on-device deployment (pruning, quantization, distillation, etc.)
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 $136,000/year in our lowest geographic market up to $222,200/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.