Amazon Sr Manager Applied Science - Amazon Ads Agent Ad Catalyst Team 

United States, Washington, Seattle 

793024075

As a senior leader, you will play a critical role in elevating the team’s scientific and technical rigor, identifying and implementing best-in-class algorithms, methodologies, and infrastructure that enable rapid experimentation and scaling. You will establish a long-term vision for continued scientific innovation, setting strategic goals to future-proof the organization’s technical stacks and ML/LLM frameworks to support new and emerging business objectives. Additionally, you will grow talents, fostering a culture of excellence and continuous learning to enhance the organization’s ability to solve complex problems in advertising science.As a Senior Manager for Applied Science, you will:
* Lead and grow a team of applied scientists and machine learning engineers working on amazon ads console personalization technologies
* Drive the technical vision for implementing ML and LLM-based solutions to improve the agentic advertiser experience
* Drive scalable ML/DL/RL and LLM solutions that can handle the breath and complexity of guiding over a million advertisers to success at scale* Translate complex customer problems into practical ML solutions
* Monitor and improve key performance metrics for advertiser performance, ease of use and satisfaction
* Stay current with the latest developments in ML/DL/LLM research and identify opportunities for implementation

• PhD in Machine Learning, Computer Science, Economics or highly related field (Statistics, Finance, Math)
• 10+ years in industry, consulting, government, or academic research
* 5+ years as a science leader or staff/principle level scientist.
• Proven track record of leading and managing science teams that deliver large impact
• Expert knowledge of machine learning algorithms and techniques
• Familiarity with large-scale data processing and storage systems
• Familiarity with LLMs.

* Experience in building large-scale machine-learning models and infra for online recommendation, ads ranking, personalization, or search, etc.
• Experience leading GenAI/LLM projects
• Strong business acumen, proven track record in performing high-quality analysis of data at scale
• Track record of mentoring scientists
• Excellent oral and written communication skills, with the ability to communicate complex technical concepts and solutions to all levels of the organization