Principal Scientist, Visual Reasoning & Multimodal AI

Amazon Web Services (AWS); Seattle (WA); On-site; USD 198,900 - 269,000; Full time

Job summary

Amazon.com Services LLC is at the forefront of visual reasoning, building multi-modal AI systems and foundation models at scale. The team blends vision, language, and geospatial cues to analyze real-time data and drive AI-powered decisions.

The role demands leadership in research, collaboration with cross-disciplinary teams, and a track record of publishing at premier conferences. Seattle-based opportunities offer impact across diverse domains.

Qualifications

• PhD in computer science, machine learning, engineering, or related field.
• 8+ years of applied research experience with publications in top venues.
• Deep expertise in architecting and training frontier vision-language or video models.
• Experience translating research into production systems at scale.
• Excellent programming skills in Python and deep learning frameworks.

Responsibilities

• Direct the technical vision for next-gen visual reasoning with LVMs.
• Design and implement deep learning architectures for multi-modal data.
• Train foundation models at scale using updated hardware and libraries.
• Architect scalable, real-time insights across diverse environments.
• Build agentic AI systems that automate end-to-end workflows.
• Collaborate across science and engineering teams on adaptations.
• Publish research at top conferences and establish technical leadership.
• Mentor scientists and engineers with hands-on contributions.
• Influence product roadmaps through technical expertise and business sense.

Skills

Vision-Language Models

Large Video Models

Python

PyTorch

TensorFlow

Research leadership

Education

PhD in computer science, ML, or related fields

Tools

PyTorch

TensorFlow

Job description

Amazon.com Services LLC is at the forefront of visual reasoning, building multi-modal AI systems and foundation models at scale. The team blends vision, language, and geospatial cues to analyze real-time data and drive AI-powered decisions.

The role demands leadership in research, collaboration with cross-disciplinary teams, and a track record of publishing at premier conferences. Seattle-based opportunities offer impact across diverse domains.