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Description

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in responsible AI, deep learning and large language models (LLMs) techniques to develop and deploy world-class foundation models.

Key job responsibilities

As an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources and collaborate with colleagues cross-AGI to achieve this objective. Your work will have a direct impact to AGI's business and customers through the foundation models we develop and depoly.

About the team

Our team's mission is to develop and deploy industry-leading foundation models that set the benchmark for the industry, comply with the relevant responsible RAI policies and delight our customers in the process.

Basic Qualifications

• PhD, or Master's degree and 2+ 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 with responsible AI

• Experience with deep learning techniques

• Experience with LLM model training and fine-tuning

Preferred Qualifications

• Experience with responsible RAI required

• Experience with popular deep learning modeling tools and workflows such as MxNet, TensorFlow, R, scikit-learn, Spark MLLib, numpy, scipy etc required.

• Experience with deep learning modeling techniques including CNNs, RNNs, GANs, VAEs, Transformers, etc required.

• Experience in scientific publications at top-tier peer-reviewed conferences or journals required.

• Highly effective verbal and written communication skills with both non-technical and technical audiences required.

• Experience with conducting applied research in a corporate setting desired

• Experience in building deep learning models for business application desired

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.