Applied Scientist EU InTech Consumer Selection
Applied Scientist EU InTech Consumer Selection
Posted on :
07-04-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
At Amazon we are committed to being the Earths most customercentric company. The International Technology group (InTech) owns the enhancement and delivery of Amazons engineering to all the varied customers and cultures of the world. We do this through a combination of partnerships with other Amazon technical teams and our own innovative new projects.
You will be joining the Tools and Machine learning (Tamale) team. As part of InTech Tamale strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to big data and machine learning technologies along to all Amazon catalog technology stack and youll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazons catalog.
We are looking for a passionate talented and inventive Scientist with a strong machine learning background to help build industryleading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.
Key job responsibilities
We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes to scale existing systems and to improve catalog data quality to name just a few. You will work with business leaders scientists and product managers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable distributed services. You will be part of team of 5 scientists and 13 engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team setting the standards for scientific excellence. You will be working with stateoftheart models including image to text LLMs and GenAI.
Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount and have a lot of fun in the process!
This position will be based in Madrid Spain
Experience building machine learning models or developing algorithms for business application
PhD or Masters degree
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
You will be joining the Tools and Machine learning (Tamale) team. As part of InTech Tamale strives to solve complex catalog quality problems using challenging machine learning and data analysis solutions. You will be exposed to big data and machine learning technologies along to all Amazon catalog technology stack and youll be part of a key effort to improve our customers experience by tackling and preventing defects in items in Amazons catalog.
We are looking for a passionate talented and inventive Scientist with a strong machine learning background to help build industryleading machine learning solutions. We strongly value your hard work and obsession to solve complex problems on behalf of Amazon customers.
Key job responsibilities
We look for applied scientists who possess a wide variety of skills. As the successful applicant for this role you will with work closely with your business partners to identify opportunities for innovation. You will apply machine learning solutions to automate manual processes to scale existing systems and to improve catalog data quality to name just a few. You will work with business leaders scientists and product managers to translate business and functional requirements into concrete deliverables including the design development testing and deployment of highly scalable distributed services. You will be part of team of 5 scientists and 13 engineers working on solving data quality issues at scale. You will be able to influence the scientific roadmap of the team setting the standards for scientific excellence. You will be working with stateoftheart models including image to text LLMs and GenAI.
Your work will improve the experience of millions of daily customers using Amazon in Europe and in other regions. You will have the chance to have great customer impact and continue growing in one of the most innovative companies in the world. You will learn a huge amount and have a lot of fun in the process!
This position will be based in Madrid Spain
Experience building machine learning models or developing algorithms for business application
PhD or Masters degree
Experience in patents or publications at toptier peerreviewed conferences or journals
Experience programming in Java C Python or related language
Experience developing and implementing deep learning algorithms particularly with respect to computer vision algorithms
Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs GANs VAEs and NF
Experience with popular deep learning frameworks such as MxNet and Tensor Flow
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect use and transfer the personal data of our candidates.
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.
Employment Type
Full-Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
