Amazon.com Services LLC
Posted Oct 21, 2026
Software Development Engineer
Midtown · Onsite · Mid · $158.1K–$213.8K
Help moving to NYC
Visa sponsorship likely
Amazon.com Services LLC filed 819 NYC H-1Bs, Oct 2025–Jun 2026; this is a technical role. This is historical evidence, not a promise of sponsorship.
Relocation assistance not stated
Relocation assistance is not stated in this posting.
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Pay
Posted$158,100–$213,800 / year
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
H-1B record$170K Company-wide NYC H-1B median offered wage at Amazon.com Services LLC: $169,761 (819 filings, Oct 2025–Jun 2026). Not specific to this role.
About the role
The Off-Search Online Sourcing team builds the real-time ad retrieval systems behind every Detail Page, Home Page, and non-Search surface on Amazon — searching hundreds of millions of ads in milliseconds using embedding models and approximate nearest neighbor indexes. You'll design and deliver the low-latency services, model serving infrastructure, and distributed indexing pipelines that determine which ads shoppers see, enriched with delivery speed, locality, and return signals so ads surface products that can reach customers quickly.
This is a team that ships fast — rapidly experimenting with new models, indexes, and signals in production through A/B experiments to grow both advertiser results and shopper engagement. You'll partner closely with applied scientists to bring new retrieval models from research into production, and use experimental results to decide what ships.
Key job responsibilities
- Design and develop high-throughput, low-latency services that retrieve and enrich ad candidates within strict latency budgets across Amazon's non-Search surfaces
- Build and scale model serving infrastructure for real-time embedding inference, partnering with applied scientists to bring new retrieval models into production
- Develop distributed indexing pipelines that build and refresh large approximate nearest neighbor search indexes across hundreds of millions of ads
- Deliver real-time fulfillment signals — delivery speed, locality, return eligibility — that improve ad filtering and ranking quality for shoppers
- Launch new retrieval models and indexes behind A/B experiments, analyze results, and use data to decide what ships to production
- Deliver features end to end — from design and code reviews through implementation, deployment, monitoring, and on-call operations
- Improve operational excellence through caching, graceful degradation, monitoring, and root-cause analysis
- Mentor peers through code and design reviews, helping raise the engineering quality bar across the team
A day in the life
On a typical day you might start by reviewing latency dashboards for your retrieval services, then dive into building a new distributed pipeline to refresh a nearest neighbor index. After lunch, you could be partnering with an applied scientist to integrate a new embedding model into the serving path, setting up the A/B experiment framework to measure its impact. Between coding sessions, you'll review pull requests, debug a latency regression, and check on the results of a running experiment to decide whether a new signal improves shopper engagement enough to ship.
About the team
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.
The Off-Search Online Sourcing team within SPB builds the real-time systems that choose which ads shoppers see on the Detail Page, Home Page, and other Amazon pages — searching hundreds of millions of ads in milliseconds using embedding models and approximate nearest neighbor indexes, and enriching every candidate with delivery speed, locality, and return signals so shoppers see ads for products that can reach them quickly.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience building low-latency, high-throughput distributed services
- Experience with search or vector retrieval systems, such as Lucene, Elasticsearch or approximate nearest neighbor indexes
- Experience serving machine learning or generative AI models in production
- Experience with large-scale data processing, such as Spark
- Background in advertising technology, recommendation systems or e-commerce platforms
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.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
This is a team that ships fast — rapidly experimenting with new models, indexes, and signals in production through A/B experiments to grow both advertiser results and shopper engagement. You'll partner closely with applied scientists to bring new retrieval models from research into production, and use experimental results to decide what ships.
Key job responsibilities
- Design and develop high-throughput, low-latency services that retrieve and enrich ad candidates within strict latency budgets across Amazon's non-Search surfaces
- Build and scale model serving infrastructure for real-time embedding inference, partnering with applied scientists to bring new retrieval models into production
- Develop distributed indexing pipelines that build and refresh large approximate nearest neighbor search indexes across hundreds of millions of ads
- Deliver real-time fulfillment signals — delivery speed, locality, return eligibility — that improve ad filtering and ranking quality for shoppers
- Launch new retrieval models and indexes behind A/B experiments, analyze results, and use data to decide what ships to production
- Deliver features end to end — from design and code reviews through implementation, deployment, monitoring, and on-call operations
- Improve operational excellence through caching, graceful degradation, monitoring, and root-cause analysis
- Mentor peers through code and design reviews, helping raise the engineering quality bar across the team
A day in the life
On a typical day you might start by reviewing latency dashboards for your retrieval services, then dive into building a new distributed pipeline to refresh a nearest neighbor index. After lunch, you could be partnering with an applied scientist to integrate a new embedding model into the serving path, setting up the A/B experiment framework to measure its impact. Between coding sessions, you'll review pull requests, debug a latency regression, and check on the results of a running experiment to decide whether a new signal improves shopper engagement enough to ship.
About the team
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.
The Off-Search Online Sourcing team within SPB builds the real-time systems that choose which ads shoppers see on the Detail Page, Home Page, and other Amazon pages — searching hundreds of millions of ads in milliseconds using embedding models and approximate nearest neighbor indexes, and enriching every candidate with delivery speed, locality, and return signals so shoppers see ads for products that can reach them quickly.
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Experience programming with at least one software programming language
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Experience building low-latency, high-throughput distributed services
- Experience with search or vector retrieval systems, such as Lucene, Elasticsearch or approximate nearest neighbor indexes
- Experience serving machine learning or generative AI models in production
- Experience with large-scale data processing, such as Spark
- Background in advertising technology, recommendation systems or e-commerce platforms
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.
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.
USA, NY, New York - 158,100.00 - 213,800.00 USD annually