The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Principal Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems.
Key job responsibilities
As a Principal Applied Scientist with the AGI team, you will lead the development of 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.
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.
Key job responsibilities
You will be responsible for defining key research directions, adopting or inventing new machine learning techniques, conducting rigorous experiments, publishing results, and ensuring that research is translated into practice.
You will develop long-term strategies, persuade teams to adopt those strategies, propose goals and deliver on them. You will also participate in organizational planning, hiring, mentorship and leadership development.
You will be technically fearless and with a passion for building scalable science and engineering solutions. You will serve as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance).
BASIC QUALIFICATIONS
- PhD with specialization in artificial intelligence, natural language processing, machine learning, or computational cognitive science
- 10+ years of combined academic and research experience.
- Functional thought leader, sought after for key tech decisions.
- Can successfully sell ideas to an executive level decision maker.
- Mentors and trains the research scientist community on complex technical issues.
- Experience developing software in traditional programming languages (C++, Java, etc..).
- Excellent written and spoken communication skills
PREFERRED QUALIFICATIONS
- Experience with deep learning frameworks
- Experience with LLMs and multimodal architectures
- Experience with generative deep learning models
- Strong publication record in top-tier journals and conferences.
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