Description

The 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 Large Language Models (LLMs) and multimodal systems.

Key job responsibilities

As an 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 audio technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in audio domain.

About the team

Our team has a mission to push the envelope of AGI in audio domain, 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:

Bellevue, WA, USA | Boston, MA, USA

Basic Qualifications

• 1+ years of building models for business application experience

• PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience

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

• Experience with neural deep learning methods and machine learning

• Experience with LLM model training and tuning

Preferred Qualifications

• Experience with popular deep learning frameworks such as MxNet and Tensor Flow.

• Experience with conducting research in a corporate setting

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.

• Experience in building machine learning models for business application

• Experience with generative deep learning models applicable to the creation of audio and text (CNNs, GANs, VAEs and Transformers).

• 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 $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.