About The Position

The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through advanced 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. This role will be critical in redesigning how ads contribute to a personalized, relevant, and inspirational shopping experience, with the customer value proposition at the forefront. As a Software Development Engineer on the Sponsored Products and Brands Off-Search team, you will help build hyper-scale online systems, offline data pipelines, and machine learning infrastructure—leveraging Generative AI (GenAI) and Large Language Models (LLMs) to transform advertising and shopping experiences. You will have the opportunity to transform core areas such as ad retrieval, ad allocation, whole-page relevance, and differentiated recommendations by designing and delivering high-quality, architecturally sound systems aligned with business needs. With the support of GenAI, you will design globally scalable solutions that evolve in the right long-term direction while delivering iterative value to customers. This is a rare opportunity to redefine how ads are retrieved, allocated, and experienced—elevating them into personalized, contextually aware, and inspiring parts of the customer journey. If you are passionate about applying frontier AI to solve real-world problems at massive scale and impact, this is your chance to define the next chapter of advertising engineering.

Requirements

  • 3+ years of non-internship professional software development experience
  • Bachelor's degree in computer science or equivalent
  • Knowledge of programming languages such as C/C++, Python, Java or Perl
  • Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)

Nice To Haves

  • 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
  • Knowledge of one or more ML Frameworks (e.g., PyTorch, TensorFlow) and ML methods including NLP models (BERT, GPT-2/3), computer vision-based models (object detection, image recognition), and text-based models (Seq2Seq, Topic modeling)
  • Experience building large-scale machine learning models and infrastructure for online recommendation, ads ranking, personalization, or search
  • Experience with AWS services or other cloud offerings
  • Experience with end-to-end ownership of major project deliverables

Responsibilities

  • Design, develop, and operate large-scale distributed systems for Sponsored Products and Brands advertising.
  • Build and optimize data pipelines and services to improve ad retrieval, allocation, and recommendations.
  • Apply Generative AI (GenAI) and Large Language Models (LLMs) to deliver more relevant, personalized ad and shopping experiences.
  • Collaborate with applied scientists, product managers, and other engineers to define and deliver customer-focused solutions.
  • Write high-quality, maintainable code and participate in design and code reviews.
  • Drive operational excellence through monitoring, automation, and continuous improvement.

Benefits

  • 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
  • parental leave
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