Sr Applied Scientist Engine AI Center of Excellence AICE
Sr Applied Scientist Engine AI Center of Excellence AICE
Posted on :
07-04-2025
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1 Vacancy
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Job Description
Our team builds datadriven automation capabilities to support critical service operations in Retail and IT with global impact. Automation improves the operations and availability of consumer services with a positive impact on experience of millions of users every year. Our work increases service operation resilience automates incident response process and enables us to act ahead of service disruptions while simplifying system and information complexity. We invent practical approaches within application areas such as anomaly detection time series analysis classification causal inference and text mining and we apply the latest and most sound techniques of agentic workflows with Large Language Models (LLMs) probabilistic modelling estimation and deep neural networks. Working with us offers exciting challenges where you will grow as an applied scientist and technical leader combining your scientific and engineering skills to solve complex machine learning problems together with our tech teams around the world.
Key job responsibilities
As a Sr. Applied Scientist of the Engine AICE team you have the important role of mapping business challenges to highimpact solutions in areas where the business problem or opportunity may not yet be defined. You turn theoretically sound methods into practically applicable models designed for processing massive volumes of data in largescale environments. You define business relevant solutions implemented as endtoend machine learning functions and data processing pipelines that integrate with our partners production systems. In a fastpaced innovation environment you advise and work closely with our Applied Scientists Machine Learning Engineers Software Development Engineers and partner teams to design machine learning models and experiments at scale. You are recognized for your expertise in all aspects of the practical machine learning development cycle encompassing sound use of data preprocessing techniques analysis modelling and validation methods. You take lead of the scientific and technical work in crossteam collaborations.
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer deep dives into technical requirements and applicability of stateoftheart models to automated detection and root cause analysis of service disruptions the next day may be focused on experimental design and implementation of model evaluations. Later in the week you may sort technical and business requirements with our partners to help them enrich their products with our models. On some days or weeks you may dive deep into the performance of deployed models to decide and communicate the next steps of model maintenance to our partners.
About the team
We work back to back to address the technical challenges of automation across a variety of products software and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each others skills. Together we are a diverse team of specialists that bring the potential of practical machine learning to the max with impact on millions of Amazon customers.
PhD degree in Computer Science or related field
Several years experience building machine learning models for business applications using Python Java C or related language.
Documented expertise in machine learning/artificial intelligence: data processing neural networks deep learning estimators regression information theory optimization statistical analysis signal processing graph mining causality analysis.
Experience with patents or scientific publications at peerreviewed conferences or journals and generally excellent writing and communication skills.
Experience in any of the following or similar areas: anomaly detection time series analysis LLMagents correlation analysis causality modelling graph modelling probabilistic modelling nlp text mining.
Experience in datadriven and automated fault/incident management and service reliability systems at scale.
Experience with machine learning frameworks distributed storage systems or data processing frameworks and data visualization tools.
Experience in designing and developing large scalable production systems and architectures.
Project leader and/or team lead experience.
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.
m/w/d
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.
Key job responsibilities
As a Sr. Applied Scientist of the Engine AICE team you have the important role of mapping business challenges to highimpact solutions in areas where the business problem or opportunity may not yet be defined. You turn theoretically sound methods into practically applicable models designed for processing massive volumes of data in largescale environments. You define business relevant solutions implemented as endtoend machine learning functions and data processing pipelines that integrate with our partners production systems. In a fastpaced innovation environment you advise and work closely with our Applied Scientists Machine Learning Engineers Software Development Engineers and partner teams to design machine learning models and experiments at scale. You are recognized for your expertise in all aspects of the practical machine learning development cycle encompassing sound use of data preprocessing techniques analysis modelling and validation methods. You take lead of the scientific and technical work in crossteam collaborations.
A day in the life
Almost everyday offers new challenges and opportunities for growth. Where one day will offer deep dives into technical requirements and applicability of stateoftheart models to automated detection and root cause analysis of service disruptions the next day may be focused on experimental design and implementation of model evaluations. Later in the week you may sort technical and business requirements with our partners to help them enrich their products with our models. On some days or weeks you may dive deep into the performance of deployed models to decide and communicate the next steps of model maintenance to our partners.
About the team
We work back to back to address the technical challenges of automation across a variety of products software and systems. Our scientists and machine learning engineers work in synergy to solve hard problems and enrich each others skills. Together we are a diverse team of specialists that bring the potential of practical machine learning to the max with impact on millions of Amazon customers.
PhD degree in Computer Science or related field
Several years experience building machine learning models for business applications using Python Java C or related language.
Documented expertise in machine learning/artificial intelligence: data processing neural networks deep learning estimators regression information theory optimization statistical analysis signal processing graph mining causality analysis.
Experience with patents or scientific publications at peerreviewed conferences or journals and generally excellent writing and communication skills.
Experience in any of the following or similar areas: anomaly detection time series analysis LLMagents correlation analysis causality modelling graph modelling probabilistic modelling nlp text mining.
Experience in datadriven and automated fault/incident management and service reliability systems at scale.
Experience with machine learning frameworks distributed storage systems or data processing frameworks and data visualization tools.
Experience in designing and developing large scalable production systems and architectures.
Project leader and/or team lead experience.
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.
m/w/d
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.
Required Experience:
Senior IC
Employment Type
Full-Time
Key Skills
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