Principal, Applied Scientist, AWS Applied AI Solutions

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

Join us if you're excited about pushing the boundaries of what's possible in physical AI, working with world-class scientists and engineers, and seeing your innovations deployed at unprecedented scale.

Key job 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

A day in the life

• Develop and implement novel foundation model architectures, working hands‑on with data and our extensive training and evaluation infrastructure
• Guide and support fellow scientists in solving complex technical challenges, from spatiotemporal reasoning to efficient multi‑task learning
• Guide and support fellow engineers in building scalable and reusable infrastructure to support model training, evaluation, and inference
• Lead focused technical initiatives from conception through deployment, ensuring successful integration with production systems
• Drive technical discussions with the team and key stakeholders
• Conduct experiments and prototype new ideas
• Mentor team members while maintaining significant hands‑on contribution to technical solutions

About The Team

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day‑to‑day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real‑world experience to build opinionated, turnkey solutions. Where customers prefer to buy rather than build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.

Join the next science and engineering revolution at AWS Applied AI Solutions, where you’ll work alongside world‑class scientists and engineers to pioneer the next frontier of visual reasoning through advanced AI and foundation models.

Our team builds cutting‑edge visual reasoning systems powered by vision‑language‑reasoning models to understand complex behaviors in the physical world. Our algorithms process video streams to reason about people, objects, and activities in real‑time—enabling automated understanding of physical environments at scale. We develop state‑of‑the‑art foundation models that push the boundaries of spatiotemporal reasoning, moving far beyond static perception.

We are building a visual reasoning foundation model that generalizes across diverse physical environments and domains. This represents a significant opportunity to develop frontier vision‑language models, multi‑modal AI, and agentic AI technologies that enable automated decision‑making capabilities with massive business impact. We build everything end to end, from data curation to model training, evaluation, and inference, along with all the tooling needed to understand and analyze model performance.

Basic Qualifications

• PhD in computer science, machine learning, engineering, or related fields
• 8+ years of applied research experience
• Have publications on top‑tier conferences, such as CVPR, ICCV, ECCV or NeurIPS
• 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
• Experience translating research into production systems at scale
• 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign‑on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 198,900.00 - 269,000.00 USD annually

Company - Amazon.com Services LLC

Job ID: A3173173