TL;DR
Applied Scientist (AI): Building Generative AI technology with Large Language Models and multimodal systems with an accent on GenAI algorithms and modeling techniques. Focus on advancing state-of-the-art LLMs and leveraging Amazon's data and computing resources for GenAI.
Location: Must be based in the US. Applicants from Los Angeles County are subject to specific local ordinances.
Salary: $136,000/year – $223,400/year
Company
The AGI team at hirify.global is focused on pushing the envelope with Generative AI in LLMs and multimodal systems to provide the best-possible customer experience.
What you will do
- Support the development of Generative AI algorithms and modeling techniques.
- Advance the state of the art with Large Language Models (LLMs) and multimodal systems.
- Directly impact customer products and services utilizing speech and language technology.
- Leverage Amazon’s heterogeneous data sources and large-scale computing resources.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
- 1+ years of experience building models for business applications.
- Experience programming in Java, C++, Python or related language.
- Experience with generative deep learning models applicable to synthetic human creation (CNNs, GANs, VAEs, NF).
- US work authorization required.
Nice to have
- PhD in Computer Science, Electrical Engineering, Mathematics or a related field.
- Strong experience with Generative Artificial Intelligence (GenAI) technologies and Large Language Models (LLMs).
- Experience with patents or publications at top-tier peer-reviewed conferences or journals.
- Experience with popular deep learning frameworks, including PyTorch.
Culture & Benefits
- Inclusive culture that empowers Amazonians to deliver results for customers.
- Full range of medical, financial, and other benefits.
- Compensation package includes equity, sign-on payments, and other forms of compensation.
- Workplace accommodation or adjustment support available for disabilities during the application and hiring process.
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