Applied Scientist, Artificial General Intelligence

• PhD, or Master’s degree and 4+ 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

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 multimodal systems.

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 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.

Key job responsibilities

• Modeling development with individual modalities, synergistically combining them, and scaling modeling methods to learn with large models and datasets
• Working on hardware-aware efficient model architecture, training objective and curriculum design
• Large-scale distributed training and developing accelerated optimization methods
• Training throughput and Model FLOPs Utilization (MFU) optimization

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:

Boston, MA, USA | San Francisco, CA, USA | Seattle, WA, USA

• PhD in Computer Vision, Computer Science, Electrical Engineering, Mathematics or related field
• Experience with ML systems, ML Compilers or large-scale distributed training with PyTorch
• 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
• Experience with patents or publications at top-tier peer-reviewed conferences or journals

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.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.