Applied Scientist II , AGI IMAX Science

Key job responsibilities

• Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
• Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
• Design, implement, and evaluate deep learning models in a production environment.
• Collaborate with cross-functional teams to transfer research outcomes into scalable AWS services.
• Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
• Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

Basic Qualifications

• PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
• 3+ years of deep learning, computer vision, human robotic interaction, algorithms implementation experience
• Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Experience programming in Java, C++, Python or related language
• Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Preferred Qualifications

• Experience leading, mentoring and growing teams of scientists (teams of five or more scientists)