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Description

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through 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.

Sponsored Products Search Relevance’s (SPSR) team’s mission is to help shoppers easily find and discover the most useful and relevant sponsored products, while improving advertisers’ ability to find the right shoppers in the right context for their sponsored products. We develop capabilities to understand shoppers’ queries, shopping missions, and products’ attributes so that we can identify ASINs that are contextually relevant to the shopper. We make CX/UX improvements so that shoppers can easily perceive why products are relevant to them and efficiently navigate Amazon’s vast product selection.

As an MLE on the team, you will collaborate with scientists, product managers, work backwards from customers, identify the problems, propose innovative solutions, mentor junior engineers, raise the bar, and have a positive impact on hundreds of millions of customers.

Key job responsibilities section

* Design and build scalable services to support advertising infrastructure

* Collaborate with scientists and engineers to design and build data pipelines for processing massive datasets and scaling ML and LLMs.

* Productionize LLM/VLM models, with a focus on efficiency, throughput, and low-latency serving.

* Provide architectural guidance and technical leadership to ensure solutions deliver measurable improvements in customer perceived relevance.

* Quickly learn technologies and algorithms in the field of Generative AI.

Basic Qualifications

- 3+ years of non-internship professional software development experience

- 3+ years of computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis) experience

- Bachelor's degree or equivalent

Preferred Qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

- Master's degree in computer science or equivalent

- Demonstrated track record of innovative AI solution development

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 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.