Job Details

ID #52435826
Estado California
Ciudad Sunnyvale
Full-time
Salario USD TBD TBD
Fuente Amazon
Showed 2024-09-03
Fecha 2024-09-03
Fecha tope 2024-11-02
Categoría Etcétera
Crear un currículum vítae
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Applied Scientist, Artificial General Intelligence

California, Sunnyvale, 94085 Sunnyvale USA
Aplica ya

DescriptionThe Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multi-modal systems. You will support projects that work on cutting edge technologies including multi-modal model alignment, moderation systems and evaluation.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will support the development of 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 speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI). You are also expected to publish in top tier conferences.About the teamThe AGI team has a mission to push the envelope in LLMs and multimodal systems. Specifically, we focus on model alignment with an aim to maintain safety while not denting utility, in order to provide the best-possible experience for our customers.Basic Qualifications

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

Preferred Qualifications

PhD in Computer Science, Electrical Engineering, Mathematics or related field

Strong experience with multi-modal model alignment, moderation systems, and evaluation with Generative Artificial Intelligence (GenAI)

Experience with patents or publications at top-tier peer-reviewed conferences or journals

Experience with popular deep learning frameworks, including PyTorch

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.

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