Amazon Ads is looking to solve the problem of 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.
Requirements
- Experience in computer science fundamentals (object-oriented design, data structures, algorithm design, problem solving and complexity analysis)
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- 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
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.
Other
- 3+ years of non-internship professional software development experience
- Bachelor's degree in computer science or equivalent
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- End-to-end ownership of major project deliverables
- Ability to work in a team and collaborate with others
