{"schemaVersion":"jobsearcher.job.v1","id":"ce2106ab46eca26c514fef7c","url":"https://jobsearcher.com/jobs/ce2106ab46eca26c514fef7c","canonicalUrl":"https://jobsearcher.com/jobs/ce2106ab46eca26c514fef7c","title":"Software Dev Engineer II, Amazon","description":"3+ years of non-internship professional software development experience\n2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\nExperience programming with at least one software programming language\nExperience in developing machine learning pipelines, developing large language model or natural language understanding models.\nWe’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, and engineers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!\n\nKey job responsibilities\nIn this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:\n\nDevelop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.\nCreate tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics\nInterface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and creating plan for deployment.\nMove quickly and navigate ambiguity, make short-term and long-term trade offs, and deliver incrementally.\nWork on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nBachelor's degree in computer science or equivalent\nAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.","company":"Amazon.com Services","rawCompany":"amazoncom services","city":"Palo Alto","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:54:52.674Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Dev Engineer II, Amazon","description":"3+ years of non-internship professional software development experience\n2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience\nExperience programming with at least one software programming language\nExperience in developing machine learning pipelines, developing large language model or natural language understanding models.\nWe’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You’ll be working with talented scientists, and engineers to innovate on behalf of our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!\n\nKey job responsibilities\nIn this role you will leverage your engineering background and expertise to help develop generative AI for shopping. On a day-to-day basis, you will:\n\nDevelop big data and machine learning pipelines to enable the training, evaluation, and deployment of large language models.\nCreate tooling to accelerate model experimentation and draw key insights from diverse aspects of model performance metrics\nInterface with partner engineering teams, applied scientists, and product managers to define requirements for production systems, collaborate on science experimentation, and creating plan for deployment.\nMove quickly and navigate ambiguity, make short-term and long-term trade offs, and deliver incrementally.\nWork on a wide range of technologies and problems, from big data distributed computing, internal tooling to streamline machine learning operations, to prompt engineering.\n3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience\nBachelor's degree in computer science or equivalent\nAmazon 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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.\n\nLos Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.","datePosted":"2026-04-12T20:54:52.674Z","dateModified":"2026-04-12T20:54:52.674Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com Services","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Palo Alto","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ce2106ab46eca26c514fef7c"},"url":"https://jobsearcher.com/jobs/ce2106ab46eca26c514fef7c"}}