Principal, Applied Scientist, AWS Applied AI Solutions

About the role

We are seeking an exceptional Principal Applied Scientist to drive technical innovation in visual reasoning foundation models. You will be a technical leader who sets the research direction, architects novel solutions, and delivers breakthrough results that advance the state of the art while solving real-world business problems.

Responsibilities

• Direct the technical vision for next-gen visual reasoning, pioneering the use of LVMs to solve high-dimensional spatial-temporal problems

• Design and implement novel deep learning architectures combining a multitude of modalities, including image, video, and geospatial data

• Solve computational challenges to train foundation models at scale, taking advantage of latest developments in hardware and deep learning libraries

• Architect scalable solutions that deliver real-time insights across diverse physical environments

• Build agentic AI systems that autonomously execute end-to-end workflows, transforming visual data into actionable business intelligence

• Collaborate with multiple science and engineering teams to build adaptations that power use cases across diverse domains

• Publish research at top-tier conferences (CVPR, NeurIPS, ICML) and establish technical thought leadership in visual reasoning and multi-modal AI

• Mentor scientists and engineers while maintaining significant hands-on contribution to technical solutions

• Influence product roadmaps through deep technical expertise and business acumen

Qualifications

• PhD in computer science, machine learning, engineering, or related fields

• 8+ years of applied research experience

• Deep expertise in architecting and training frontier Vision-Language Models (VLMs) or Large Video Models (LVMs), with proven ability to design novel algorithms that advance the state of the art in spatiotemporal understanding

• Excellent programming skills in Python and deep learning frameworks (PyTorch, TensorFlow)

Preferred Qualifications

• Deep expertise in World Models, Neural Radiance Fields (NeRFs/Gaussian Splatting), and long-horizon spatiotemporal reasoning

• Demonstrated leadership in building and scaling agentic AI applications in production

• A history of building and scaling world-class teams and mentoring senior ICs to achieve career breakthroughs