Applied Scientist, Sponsored Products and Brands - Amazon.com

Key Responsibilities

• Design, prototype, and deploy generative AI models that automate ad creative generation and optimization across Sponsored Products and Brands.
• Collaborate with cross‑functional teams to translate business requirements into scalable ML solutions, ensuring alignment with advertiser goals.
• Conduct rigorous experimentation, A/B testing, and performance analysis to validate model impact on key metrics such as CTR, conversion, and ROAS.
• Leverage AWS infrastructure (SageMaker, Lambda, S3) to build robust, production‑ready pipelines and maintain model monitoring and governance.
• Communicate findings and insights to stakeholders through clear visualizations and technical documentation.

Requirements

• Ph.D. or Master’s in Computer Science, Machine Learning, or related field with 3+ years of applied research experience.
• Proficiency in Python, deep learning frameworks (PyTorch/TensorFlow), and experience with generative models (e.g., GPT, diffusion).
• Strong background in NLP, computer vision, or multimodal ML applied to advertising or recommendation systems.
• Hands‑on experience deploying models on AWS (SageMaker, Lambda, ECS) and building end‑to‑end ML pipelines.
• Excellent problem‑solving skills, ability to work independently, and strong communication skills for cross‑team collaboration.