Applied Scientist Personalization
Applied Scientist Personalization
Posted on :
06-04-2025
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1 Vacancy
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Job Description
Were looking for a Machine Learning Scientist in the Personalization team for our Edinburgh office experienced in generative AI and large models. You will be responsible for developing and disseminating customerfacing personalized recommendation models. This is a handson role with global impact working with a team of worldclass engineers and scientists across the Edinburgh offices and wider organization.
You will lead the design of machine learning models that scale to very large quantities of data and serve highscale lowlatency recommendations to all customers worldwide. You will embody scientific rigor designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy and raise the profile of Amazon as a global leader in machine learning and personalization.
Successful candidates will have strong technical ability focus on customers by applying a customerfirst approach excellent teamwork and communication skills and a motivation to achieve results in a fastpaced environment. Our position offers exceptional opportunities for every candidate to grow their technical and nontechnical skills. If you are selected you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data leveraging Amazons vast computing resources (AWS) working on exciting and challenging projects and delivering meaningful results to customers worldwide.
Key job responsibilities
Develop machine learning algorithms for highscale recommendations problems.
Rapidly design prototype and test many possible hypotheses in a highambiguity environment making use of both quantitative analysis and business judgement.
Collaborate with software engineers to integrate successful experimental results into largescale highly complex Amazon production systems capable of handling 100000s of transactions per second at low latency.
Report results in a manner which is both statistically rigorous and compellingly relevant exemplifying good scientific practice in a business environment.
PhD or a Masters degree and experience in CS CE ML or related field
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 in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
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.
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 protected veteran status 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.
You will lead the design of machine learning models that scale to very large quantities of data and serve highscale lowlatency recommendations to all customers worldwide. You will embody scientific rigor designing and executing experiments to demonstrate the technical efficacy and business value of your methods. You will work alongside a science team to delight customers by aiding in recommendations relevancy and raise the profile of Amazon as a global leader in machine learning and personalization.
Successful candidates will have strong technical ability focus on customers by applying a customerfirst approach excellent teamwork and communication skills and a motivation to achieve results in a fastpaced environment. Our position offers exceptional opportunities for every candidate to grow their technical and nontechnical skills. If you are selected you have the opportunity to make a difference to our business by designing and building state of the art machine learning systems on big data leveraging Amazons vast computing resources (AWS) working on exciting and challenging projects and delivering meaningful results to customers worldwide.
Key job responsibilities
Develop machine learning algorithms for highscale recommendations problems.
Rapidly design prototype and test many possible hypotheses in a highambiguity environment making use of both quantitative analysis and business judgement.
Collaborate with software engineers to integrate successful experimental results into largescale highly complex Amazon production systems capable of handling 100000s of transactions per second at low latency.
Report results in a manner which is both statistically rigorous and compellingly relevant exemplifying good scientific practice in a business environment.
PhD or a Masters degree and experience in CS CE ML or related field
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 in building machine learning models for business application
Experience using Unix/Linux
Experience in professional software development
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.
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 protected veteran status 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.
Employment Type
Full-Time
Key Skills
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