Applied Scientist II, AWS Just-Walk-Out Science Team

Amazon.comSeattle, WA
104d$136,000 - $223,400

About The Position

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. The 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. 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 Earths' 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.

Requirements

  • 3+ years of building models for business application experience.
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Python or related language.
  • Experience in visual reasoning, generative AI, transformers, multi-modal models, video analysis and action/activity understanding.

Nice To Haves

  • Experience in designing and implementing visual reasoning systems that can understand and interpret complex spatial relationships.
  • Demonstrated experience in AI agent architecture design, including decision-making frameworks and behavioral modeling.
  • Experience with advanced computer vision techniques including scene graph generation, visual relationship detection, and spatial reasoning.
  • Knowledge of modern visual-language models and multi-modal AI systems.
  • Experience implementing reinforcement learning for autonomous agent behavior.
  • Experience in professional software development.

Responsibilities

  • Help solve a variety of technical challenges and mentor other scientists.
  • Tackle challenging, novel situations every day.
  • Work with multiple technical teams at Amazon in different locations.
  • Develop and implement advanced visual reasoning systems that can understand complex spatial relationships and object interactions in real-time.
  • Design autonomous AI agents that can make intelligent decisions based on visual inputs.
  • Understand customer behavior patterns and adapt to dynamic retail environments.
  • Develop systems that can perform complex scene understanding, reason about object permanence, and predict customer intentions through visual cues.

Benefits

  • Comprehensive medical, financial, and other benefits.
  • Mentorship and career growth opportunities.
  • Work-life balance and flexibility.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Industry

General Merchandise Retailers

Education Level

Ph.D. or professional degree

Number of Employees

5,001-10,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service