{"schemaVersion":"jobsearcher.job.v1","id":"9a7b9b5477fcc25b8c0b656d","url":"https://jobsearcher.com/jobs/9a7b9b5477fcc25b8c0b656d","canonicalUrl":"https://jobsearcher.com/jobs/9a7b9b5477fcc25b8c0b656d","title":"Applied Scientist, Customer360","description":"Overview Job ID: 3162943 | Amazon.com Services LLC\nAre you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and fine-tuning LLMs? Are you interested in innovating on behalf of millions of customers, helping them accomplish their everyday goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientists and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at Amazon. Our team is part of Amazon’s Personalization organization, a high-performing group that leverages machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon to influence how customers will think about their shopping journey in the future.\n\nResponsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models and fine-tuning models.\nYou will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.\nYou will solve real-world problems by getting and analyzing large amounts of data, generating insights and opportunities, executing experiments, and developing statistical and ML models.\nYou will mentor junior members and help them grow.\n\nPlease visit amazon.science for more information.\n\nA day in the life You will get large datasets, analyze data, generate insights and opportunities, execute experiments, and develop statistical and ML models. You will influence stakeholders with clear communication and innovate on behalf of the customer by strategically building features. You will collaborate with other scientists, engineers, and product managers across the organization.\n\nAbout the team The team values innovation and offers a safe place to try, fail, and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers a creative space with an entrepreneurial work environment focusing on customer obsession.\n\nBasic Qualifications 3+ years of building models for business applications\nPhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience\nExperience programming in Java, C++, Python or related language\nExperience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nExperience in designing experiments and statistical analysis of results\nExperience in patents or publications at top-tier peer-reviewed conferences or journals\n\nPreferred Qualifications Experience using Unix/Linux\nExperience in professional software development\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nCompensation and Benefits The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .\n\nPosting Information USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually\n\nPosted: April 21, 2026 (Updated 12 minutes ago)\nPosted: February 16, 2026 (Updated about 23 hours ago)\nPosted: February 6, 2026 (Updated 1 day ago)\nPosted: October 6, 2025 (Updated 1 day ago)\nPosted: February 27, 2026 (Updated 1 day ago)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\n#J-18808-Ljbffr","company":"Amazon","rawCompany":"amazon","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-17T04:22:21.063Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Applied Scientist, Customer360","description":"Overview Job ID: 3162943 | Amazon.com Services LLC\nAre you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and fine-tuning LLMs? Are you interested in innovating on behalf of millions of customers, helping them accomplish their everyday goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientists and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at Amazon. Our team is part of Amazon’s Personalization organization, a high-performing group that leverages machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date recommendations that are related to their interests. We are a team uniquely placed within Amazon to influence how customers will think about their shopping journey in the future.\n\nResponsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models and fine-tuning models.\nYou will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products and systems.\nYou will solve real-world problems by getting and analyzing large amounts of data, generating insights and opportunities, executing experiments, and developing statistical and ML models.\nYou will mentor junior members and help them grow.\n\nPlease visit amazon.science for more information.\n\nA day in the life You will get large datasets, analyze data, generate insights and opportunities, execute experiments, and develop statistical and ML models. You will influence stakeholders with clear communication and innovate on behalf of the customer by strategically building features. You will collaborate with other scientists, engineers, and product managers across the organization.\n\nAbout the team The team values innovation and offers a safe place to try, fail, and learn while fostering a culture of continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers a creative space with an entrepreneurial work environment focusing on customer obsession.\n\nBasic Qualifications 3+ years of building models for business applications\nPhD, or Master’s degree and 4+ years of CS, CE, ML or related field experience\nExperience programming in Java, C++, Python or related language\nExperience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing\nExperience in designing experiments and statistical analysis of results\nExperience in patents or publications at top-tier peer-reviewed conferences or journals\n\nPreferred Qualifications Experience using Unix/Linux\nExperience in professional software development\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nCompensation and Benefits The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits .\n\nPosting Information USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually\n\nPosted: April 21, 2026 (Updated 12 minutes ago)\nPosted: February 16, 2026 (Updated about 23 hours ago)\nPosted: February 6, 2026 (Updated 1 day ago)\nPosted: October 6, 2025 (Updated 1 day ago)\nPosted: February 27, 2026 (Updated 1 day ago)\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\n#J-18808-Ljbffr","datePosted":"2026-06-17T04:22:21.063Z","dateModified":"2026-06-17T04:22:21.063Z","hiringOrganization":{"@type":"Organization","name":"Amazon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9a7b9b5477fcc25b8c0b656d"},"url":"https://jobsearcher.com/jobs/9a7b9b5477fcc25b8c0b656d"}}