Amazon Ads is looking to revolutionize the advertising landscape by leveraging generative AI technologies to transform how customers discover products and engage with brands, aiming to create more personalized, relevant, and inspirational shopping experiences.
Requirements
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 3+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language
- Strong foundation in GenAI, large language models, machine learning, deep learning, probabilistic modeling, and/or optimization.
- Experience developing and deploying models in real-world production environments.
- Proven expertise in Generative AI, foundation models, LLMs, and/or fine-tuning and customization for downstream tasks.
- Hands-on experience in ads ranking, retrieval, recommendation systems, search, or personalization at web scale.
Responsibilities
- Contribute to the design and development of GenAI, deep learning, multi-objective optimization and/or reinforcement learning empowered solutions to transform ad retrieval, auctions, whole-page relevance, and/or bespoke shopping experiences.
- Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
- Stay abreast of industry trends in GenAI, LLMs, and related disciplines, bringing fresh and innovative concepts, ideas, and prototypes to the organization.
- Contribute to the enhancement of team’s scientific and technical rigor by identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling.
- Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.
- Contribute to the development in Generative AI (GenAI) and Large Language Models (LLMs) to revolutionize our advertising flow, backend optimization, and frontend shopping experiences.
- Build novel generative models grounded in both Amazon’s rich data and the world’s collective knowledge.
Other
- Collaborate cross-functionally with other scientists, engineers, and product managers to bring scalable, production-ready science solutions to life.
- Mentor and grow junior scientists and engineers, cultivating a high-performing, collaborative, and intellectually curious team.
- Demonstrated ability to communicate complex technical topics clearly to both technical and non-technical audiences.
- 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.
