Principal, Applied Scientist, AWS Applied AI Solutions

What you'll do

• Set technical direction and develop multimodal foundation-model architectures for spatial-temporal reasoning.
• Build and deploy scalable, real-time agentic AI systems that turn visual data into actionable business intelligence.
• Lead research and technical teams, publish findings, mentor colleagues, and influence product roadmaps.

What they ask for

• PhD in computer science, machine learning, engineering, or a related field.
• 8+ years of applied research experience.
• Publications at top-tier conferences such as CVPR, ICCV, ECCV, or NeurIPS; expertise architecting and training frontier VLMs or LVMs and advancing spatiotemporal understanding.
• Experience translating research into production systems at scale; strong Python and deep learning framework skills, including PyTorch and TensorFlow.

Nice to have

• Expertise in World Models, NeRFs/Gaussian Splatting, and long-horizon spatiotemporal reasoning.
• Leadership building and scaling agentic AI applications in production, and mentoring senior individual contributors.

Pay

198,900.00 - 269,000.00 USD annually (base salary)

Tools

LVMs, LLMs, VLMs, Python, PyTorch, TensorFlow, NeRFs, Gaussian Splatting

AI focus

Develops visual reasoning foundation models, including Large Video Models, and agentic AI systems for spatial-temporal reasoning and action in physical environments.