Machine Learning Engineer Sponsored Products , Adaptive Search Relevance
Machine Learning Engineer Sponsored Products , Adaptive Search Relevance
Posted on :
29-09-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job 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 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 youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
Sponsored Products Search Relevances (SPSR) teams 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 Amazons 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.
- 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
- Bachelors degree or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Masters 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Sponsored Products Search Relevances (SPSR) teams 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 Amazons 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.
- 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
- Bachelors degree or equivalent
- 3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
- Masters 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 for more information. If the country/region youre applying in isnt 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 $129300/year in our lowest geographic market up to $223600/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 This position will remain posted until filled. Applicants should apply via our internal or external career site.
Employment Type
Full-Time
Department / Functional Area
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
