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e through significant ambiguity in defining business problems and converting them to analytical problems this role requires additional exposure and experience to machine learning key job responsibilities use machine learning and analytical techniques to create scalable solutions for business problems analyze and extract relevant information from large amounts of amazon s historical business data to help automate and optimize key processes design development evaluate and deploy innovative and highly scalable ml models such as risk scorecards income models fraud models for predictive learning in credit risk applications research and implement novel machine learning and statistical approaches work closely with software engineering teams to drive real time model implementations and new feature creations work closely with business owners and operations staff to optimize various business operations establish scalable efficient automated processes for large scale data analyses model development model validation and model implementation mentor other scientists and engineers in the use of ml techniques innovate with the latest genai technology to build highly automated solutions for efficient customer promotions design develop and deploy end to end machine learning solutions in the amazon production environment to delight amazon customers collaborate with cross functional teams to develop comprehensive ml statistical models that can scale to millions of customers to multiple countries understand the credit risk data and evaluate the best ml model solution for dynamic business problems about the team brazil payments is part of the international emerging stores payments team and focuses on supporting the launch of new payment and financial products to our customers in brazil 2027 applied scientist internship phd amazon university talent acquisition es madrid we re building the intelligence behind how customers discover trust and enjoy products on amazon we re solving complex catalogue quality challenges with machine learning enhancing product discovery through computer vision and multimodal ai and pioneering agentic systems that autonomously navigate and stress test the amazon shopping experience to surface insights at scale we re looking for phd students across multiple research domains to invent design and implement state of the art solutions for never before solved problems your work here won t just stay in a notebook it ships to production and reaches customers worldwide check out the details below including the job responsibilities team details and basic qualifications before submitting your application you can find more information about the amazon science community as well as interview preparation tips via the links below https www amazon science https amazon jobs content en career programs university science https amazon jobs content en how we hire university roles applied science key job responsibilities as an applied science intern you will own the design and development of end to end systems you ll have the opportunity to write technical white papers create roadmaps and drive production level projects that will support amazon science you will work closely with amazon scientists and other science interns to develop solutions and deploy them into production you will have the opportunity to design new algorithms models or other technical solutions whilst experiencing amazon s customer focused culture the ideal intern should have the ability to work with diverse groups of people and cross functional teams to solve complex business problems a day in the life you ll spend your first weeks scoping your project with your mentor then own the research and implementation end to end your work could involve developing machine learning and data analysis solutions that detect and resolve catalogue quality issues at massive scale building computer vision and multimodal learning models that transform how customers discover and interact with products engineering universal ml systems that make shopping on amazon easier and more visually delightful or creating autonomous agentic shoppers that tirelessly navigate the amazon website to provide feedback and actionable insights depending on the team you re matched with many interns publish at top tier conferences or see their work deployed to production before the internship ends interns may also be considered for a return offer at the end of their internship subject to performance evaluation and headcount availability further benefits of an amazon science internship include all of our internships offer a competitive salary interns are paired with an experienced manager and mentor s interns get invited to different intern program or office events interns can build their professional and personal network with other amazon scientists interns can potentially publish work at top tier conferences about the team we re hiring interns for multiple teams in spain including but not limited to tamale using machine learning and data analysis solutions to solve complex catalogue quality problems nintai developing ai solutions focusing on computer vision and multimodal learning to enhance how customers discover and interact with products home innovation tech building universal state of the art machine learning technology that makes shopping on amazon easier and more visually delightful for our customers eu intech pioneers a population of agentic shoppers autonomous ai agents that tirelessly navigate and shop on the amazon website providing feedback and insights to improve the customer experience you ll submit a single application and we ll match you with science teams best aligned with your research interests applications are reviewed on a rolling basis and your application stays active until we find a team match or confirm there are no matches available start dates are available throughout the year for durations of between 3 6 months please note each team has different start date and duration preferences your recruiter will confirm the preferences of the team you re matched with prior to interviewing we offer science internships in multiple locations across the emea region and you can indicate your interest in all these locations by applying here austria estonia france germany ireland israel italy jordan luxembourg netherlands poland romania south africa spain sweden uae and uk please note we do not offer remote internships 2027 applied scientist internship phd amazon university talent acquisition gb london we re building systems that turn research into real world impact ensuring flawless streaming for millions of prime video customers shaping the future of ai driven shopping with rufus advancing speech generation and conversational ai optimizing large scale infrastructure through intelligent observability and transforming how people and jobs find each other if this sounds interesting to you then we have a range of opportunities for you to explore we re looking for phd students across multiple research domains to invent design and implement state of the art solutions for never before solved problems your work here won t just stay in a notebook it ships to production and reaches customers worldwide check out the details below including the job responsibilities team details and basic qualifications before submitting your application you can find more information about the amazon science community as well as interview preparation tips via the links below https www amazon science https amazon jobs content en career programs university science https amazon jobs content en how we hire university roles applied science key job responsibilities as an applied science intern you will own the design and development of end to end systems you ll have the opportunity to write technical white papers create roadmaps and drive production level projects that will support amazon science you will work closely with amazon scientists and other science interns to develop solutions and deploy them into production you will have the opportunity to design new algorithms models or other technical solutions whilst experiencing amazon s customer focused culture the ideal intern should have the ability to work with diverse groups of people and cross functional teams to solve complex business problems a day in the life you ll spend your first weeks scoping your project with your mentor then own the research and implementation end to end your work could involve building computer vision models that detect quality issues across prime video s content library developing multimodal ai solutions that power amazon s shopping assistant rufus creating automated reasoning tools that verify distributed systems at scale engineering intelligent observability frameworks for large scale infrastructure or advancing recommendation models that connect people with the right jobs depending on the team you re matched with many interns publish at top tier conferences or see their work deployed to production before the internship ends interns may also be considered for a return offer at the end of their internship subject to performance evaluation and headcount availability further benefits of an amazon science internship include all of our internships offer a competitive salary interns are paired with an experienced manager and mentor s interns get invited to different intern program or office events interns can build their professional and personal network with other amazon scientists interns can potentially publish work at top tier conferences about the team we re hiring interns for multiple teams in the uk including but not limited to prime video video quality analysis develops ai and machine learning solutions using computer vision audio processing and generative ai to detect and prevent streaming quality issues across prime video s vast content library rufus features science uk shapes ai driven shopping experiences at amazon working on projects from enabling rufus to take actions on behalf of customers to generating multimodal answers combining text image audio and video readi observability triage peak readiness builds intelligent log analytics and automated performance frameworks that transform system telemetry into actionable insights for large scale distributed systems automated reasoning group ensures program and systems correctness through deductive proof model checking formal verification and runtime conformance monitoring for large scale distributed systems you ll submit a single application and we ll match you with science teams best aligned with your research interests applications are reviewed on a rolling basis and your application stays active until we find a team match or confirm there are no matches available start dates are available throughout the year for durations of between 3 6 months please note each team has different start date and duration preferences your recruiter will confirm the preferences of the team you re matched with prior to interviewing we offer science internships in multiple locations across the emea region and you can indicate your interest in all these locations by applying here austria estonia france germany ireland israel italy jordan luxembourg netherlands poland romania south africa spain sweden uae and uk please note we do not offer remote internships 2027 applied scientist internship phd amazon university talent acquisition il tel aviv we re building systems that turn research into real world impact powering sports experiences for millions of prime video customers pioneering multimodal document intelligence building autonomous ai agents that reason plan and act and transforming how customers discover products they love if this sounds interesting to you then we have a range of opportunities for you to explore we re looking for phd students across multiple research domains to invent design and implement state of the art solutions for never before solved problems your work here won t just stay in a notebook it ships to production and reaches customers worldwide check out the details below including the job responsibilities team details and basic qualifications before submitting your application you can find more information about the amazon science community as well as interview preparation tips via the links below https www amazon science https amazon jobs content en career programs university science https amazon jobs content en how we hire university roles applied science key job responsibilities as an applied science intern you will own the design and development of end to end systems you ll have the opportunity to write technical white papers create roadmaps and drive production level projects that will support amazon science you will work closely with amazon scientists and other science interns to develop solutions and deploy them into production you will have the opportunity to design new algorithms models or other technical solutions whilst experiencing amazon s customer focused culture the ideal intern should have the ability to work with diverse groups of people and cross functional teams to solve complex business problems a day in the life you ll spend your first weeks scoping your project with your mentor then own the research and implementation end to end your work could involve building computer vision models that power live sports experiences for prime video developing multimodal genai solutions for aws document intelligence creating agentic ai systems that reason and act autonomously or advancing recommendation models that transform how customers discover content depending on the team you re matched with many interns publish at top tier conferences or see their work deployed to production before the internship ends interns may also be considered for a return offer at the end of their internship subject to performance evaluation and headcount availability further benefits of an amazon science internship include all of our internships offer a competitive salary interns are paired with an experienced manager and mentor s interns get invited to different intern program or office events interns can build their professional and personal network with other amazon scientists interns can potentially publish work at top tier conferences about the team we re hiring interns for multiple teams in israel including but not limited to prime video sports build innovative sports experiences for prime video spanning computer vision 3d simulation and personalized content recommendations personalization leverage llms nlp and recommender systems to match customers with products that align with their passions and shopping preferences agentic ai build next generation agentic ai systems that automate real world knowledge work spanning retrieval augmented generation multi agent workflows long term memory and personalization knowledge graph construction and agent evaluation ds3 textract develop multimodal generative a...