Applied Scientist II, Sponsored Products and Brands

Amazon Inc.; New York (NY); On-site; USD 210,000 - 270,000; Full time

Job summary

Amazon Inc. is seeking an Applied Scientist to advance agentic AI within the Sponsored Products and Brands ads delivery stack. You will apply expertise in continual learning, NLP, and LLMs to improve model quality and impact, balancing innovation with responsible AI practices.

The role involves shaping a customer-centric science vision, exploring new scientific approaches, and collaborating in a startup-like environment to revolutionize how ads are created, optimized, and analyzed.

Qualifications

• Expertise in agentic AI systems and continual learning.
• Strong background in NLP and large language models (LLMs).
• Experience evaluating AI models in ads tech context.

Responsibilities

• Improve quality of agentic solutions in the ads delivery stack.
• Build ML-based solutions to optimize advertising performance.
• Articulate a customer-centric science vision and learn new approaches.

Skills

Agentic systems

Continual learning

NLP

LLMs

Evaluation

Job description

Description

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. 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. As an Applied Scientist within the Brand Intelligence team, you will be responsible for improving the quality of underlying agentic solutions and their impact within the ads delivery stack. We are looking for a passionate candidate with technical expertise in agentic systems, continual learning, evaluation, information retrieval, Natural Language Processing (NLP), and Large Language Models (LLM). In addition to having hands-on experience in building ML-based solutions, an ideal candidate should be able to create and articulate a customer-centric science vision, show willingness to continuously learn about new scientific approaches, and enjoy operating in startup-like environment.