Sr. Applied Scientist, AWS Just-Walk-Out Science Team

Sr. Applied Scientist, AWS Just-Walk-Out Science Team

Job ID: | Amazon.com Services LLC

As part of the AWS 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 over build, we become their trusted partner with solutions that are no‑brainers to buy and easy to use.

Just Walk Out (JWO) is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go! Our checkout‑free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your account and send you a receipt. Check it out at amazon.com/go. Designed and custom‑built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earth’s most customer‑centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.

Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real‑time and distributed systems.

As a Sr. Applied Scientist, you will help solve a variety of technical challenges and mentor other scientists. You will be the thought leader of the team. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.

Key Job Responsibilities

• Develop a novel framework and advance the theory and practice of multi‑object tracking, re‑identification, person activity understanding, multi‑modal foundation model, and generic video understanding.
• Create innovative techniques for efficient visual processing that can scale to real‑world applications.
• Investigate approaches to reduce the computational and data requirements of visual AI systems.

Basic Qualifications

• PhD, or Master’s degree and 6+ years of applied research experience.
• 5+ years of building machine learning models for business application experience.
• Experience with neural deep learning methods and machine learning.
• Track record of publications at top‑tier conferences (CVPR, ICCV, ECCV, NeurIPS, ICLR), specifically focusing on multi‑object tracking, re‑identification, human activity understanding, or multi‑modal LLMs.
• Strong background in computer vision, deep learning, and multi‑modal foundation models.
• Experience with PyTorch or other deep learning frameworks.
• Demonstrated ability to transform research ideas into practical implementations.

Preferred Qualifications

• Knowledge of modern visual‑language models and multi‑modal AI systems.
• Experience with large‑scale model training and optimization.
• Contributions to open‑source AI projects or research frameworks.
• Experience mentoring junior researchers and collaborating with engineering teams.
• Strong track record of turning research breakthroughs into practical applications.

Compensation

USA, WA, Seattle – 167,100.00 – 226,100.00 USD annually.

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

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

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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Posted: February 13, 2026 (Updated 2 days ago)