Software Dev Engineer II, Sponsored Products and Brands

6 days ago


San Francisco, United States Amazon Full time

Software Dev Engineer II, Sponsored Products and Brands Job ID: 3128371 | Amazon.com Services LLC About Sponsored Products and Brands: The Sponsored Products and Brands team at Amazon Ads is re‑imagining the advertising landscape through industry‑leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re‑inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you’re energized by solving complex challenges and pushing the boundaries of what’s possible with AI, join us in shaping the future of advertising. We are looking for a software dev engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). SPB helps merchants, retail vendors, and brand owners grow incremental sales of their products on Amazon through native product advertising. The CAX team focuses on sponsored conversational shopping experiences powered by large language models (LLMs). The team works on multiple “industry first” projects which are ambiguous and challenging, but they offer the opportunity to have a significant impact on both our shoppers and business. As an engineer on the team, you will drive major product and engineering initiatives, build large‑scale, low‑latency distributed systems, build ML infrastructure and data processing pipelines. You will partner with our science team to implement LLM models in production, and also contribute to LLMOps. You will be responsible for designing, building, and operating key pieces of customer facing functionality impacting hundreds of millions of Amazon shoppers worldwide. Key Job Responsibilities Design and develop new conversational ad experiences on the Search page Collaborate with cross‑functional teams to integrate AI‑driven solutions across our advertising ecosystem Pioneer new approaches to conversational AI and natural language interactions in advertising Shape the future of how businesses connect with customers through advertising Create scalable systems to deliver explicitly personalized ad experiences What we’re looking for: Passionate about Generative AI, Large Language Models, and their real‑world applications Strong software engineering skills Creative problem‑solver who thrives in ambiguity and loves tackling complex challenges Track record of delivering innovative solutions that drive business impact Enthusiasm for staying current with the rapidly evolving AI landscape Basic Qualifications 3+ years of non‑internship professional software development experience 2+ years of non‑internship design or architecture experience for new and existing systems Experience programming with at least one software programming language Preferred Qualifications 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations Bachelor’s degree in computer science or equivalent Experience in advertising Experience building large‑scale machine learning and AI solutions at Internet scale Experience developing and deploying Agentic AI solutions Experience developing and deploying Gen AI applications Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include working safely and cooperatively with other employees, supervisors, and staff; adhering to standards of excellence despite stressful conditions; communicating effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and following 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 company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 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. Our 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. #J-18808-Ljbffr


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