Applied Scientist II AWS Just-Walk-Out Science Team
Applied Scientist II AWS Just-Walk-Out Science Team
Posted on :
15-03-2025
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1 Vacancy
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Job Description
As part of the AWS Solutions organization we have a vision to provide business applications leveraging Amazons unique experience and expertise that are used by millions of companies worldwide to manage daytoday 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 Amazons realworld experience to build opinionated turnkey solutions. Where customers prefer to buy over build we become their trusted partner with solutions that are nobrainers to buy and easy to use.
The Team: Amazon Go is a new kind of store with no lines and no checkoutyou 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 checkoutfree 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 youre done shopping you can just leave the store. Shortly after well charge your Amazon account and send you a receipt. Check it out at amazon/go. Designed and custombuilt 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.
The Role: Everyone on the team needs to be entrepreneurial wear many hats and work in a highly collaborative environment thats more startup than big company. Well need to tackle problems that span a variety of domains: computer vision image recognition machine learning realtime and distributed systems.
As a Machine Learning or Computer Vision Research Scientist you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging novel situations every day and given the size of this initiative youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity thats higher than most projects and relish the idea of solving problems that frankly havent been solved at scale before anywhere. Along the way we guarantee that youll learn a ton have fun and make a positive impact on millions of people.
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. Applicants should apply via our internal or external career site.
The Team: Amazon Go is a new kind of store with no lines and no checkoutyou 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 checkoutfree 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 youre done shopping you can just leave the store. Shortly after well charge your Amazon account and send you a receipt. Check it out at amazon/go. Designed and custombuilt 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.
The Role: Everyone on the team needs to be entrepreneurial wear many hats and work in a highly collaborative environment thats more startup than big company. Well need to tackle problems that span a variety of domains: computer vision image recognition machine learning realtime and distributed systems.
As a Machine Learning or Computer Vision Research Scientist you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging novel situations every day and given the size of this initiative youll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity thats higher than most projects and relish the idea of solving problems that frankly havent been solved at scale before anywhere. Along the way we guarantee that youll learn a ton have fun and make a positive impact on millions of people.
About the team
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
Inclusive Team Culture
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
3 years of building models for business application experience
PhD or Masters degree and 4 years of CS CE ML or related field experience
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience using Unix/Linux
Experience in professional software development
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
The base salary for this position ranges from $149300/year up to $249300/year. Salary is based on a number of factors and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Key Skills
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