Job Overview
AWS Utility Computing (UC) is a product innovation hub that delivers foundational services like Amazon S3 and EC2, as well as consistently released new products that set AWS's services apart.
We're seeking an inventive, curious, and driven Applied Scientist with a strong background in AI and Deep Learning to join our AWS Multimodal generative AI science team.
As part of this team, you'll lead research projects, develop state-of-the-art algorithms, and pioneer solutions that impact millions of Amazon customers, working alongside top-tier scientists and engineers.
Key Responsibilities
* Lead research initiatives in Multimodal generative AI, pushing boundaries of model efficiency, accuracy, and scalability.
* Design, implement, and evaluate deep learning models in production environment.
* Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
* Publish in top-tier conferences and journals to maintain Amazon's position at forefront of innovation.
* Mentor and guide other scientists and engineers to foster culture of scientific curiosity and excellence.
Requirements
* Ph.D. or Master's in Computer Science, Electrical Engineering, Statistics, Mathematics, or related field.
* Proven expertise in AI/ML fields such as LLMs, Computer Vision, Generative AI, NLP, or foundational models.
* Experience with deep learning frameworks (e.g., TensorFlow, PyTorch) and familiarity with cloud-based computing platforms.
* Strong analytical, mathematical, and coding skills (e.g., Python, C++, or Java).
* First author in research publications in peer-reviewed conferences or journals.
Preferred Qualifications
* Experience designing and leading complex research projects from ideation to implementation.
* Deep understanding of statistical modeling, optimization, and algorithm development.
* Excellent communication skills, conveying complex technical information to diverse audiences.