Manager, Applied Science, Sales AI

Are you interested in shaping the future of Advertising and B2B Sales through Generative AI solutions We are a growing science and engineering team with an exciting charter and need your passion innovative thinking and creativity to help take our products to new heights.

Amazon Advertising is one of Amazons fastest growing and most profitable businesses. Within the Advertising Sales organization we are building a central AI/ML team and are seeking a top science leader to build new Generative AI powered services that will transform the way account teams operate. This includes building autonomously orchestrated AI Agents that directly connect with advertisers as well as core AI services that augment internal products with improved embeddings fine-tuned LLMs and custom guardrails.

As a part of our team you will bring deep expertise in Natural Language Processing (NLP) Reinforcement Learning (RL) Deep Learning (DL) Large Language Models (LLM) and/or Generative Artificial Intelligence to build and refine models that can be implemented in production. You will be a thought leader as we chart new courses with our ad sales support technologies and you have the communication skills necessary to explain complex technical approaches to a variety of stakeholders leaders and customers. We are seeking a true owner who can provide science leadership establish a vision and charter for the team foster a collaborative and innovative team environment and manage a team of scientists and software engineers to drive long-term success. You can build a team launch AI models in production write vision documents and build scalable team mechanisms.

Impact and Career Growth: You will invent new experiences and influence customer-facing AI experiences; this is your opportunity to work within the fastest growing businesses across all of Amazon with visibility to senior leadership and an opportunity to grow quickly! Define a long-term scientific vision for our advertising sales business driven from our customers needs translating that direction into specific plans for scientists engineers and product teams. This role combines scientific leadership organizational ability technical strength product focus and business understanding. Were also continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Key job responsibilities
- Drive end-to-end applied science projects that have a high degree of ambiguity scale and complexity
- Provide technical / science leadership related to Large Language Models Natural Language Processing (NLP) and Reinforcement Learning (RL) .
- Research new and innovative Machine Learning / Artificial Intelligence approaches.
- Recruit high performing Applied Scientists to the team and provide mentorship.
- Establish team mechanisms including team building vision setting planning and document reviews.

About the team
Sales AI is a central science and engineering organization within Amazon Advertising Sales that powers selling motions and account team workflows via state-of-the-art of AI/ML services. Sales AI is investing in a range of sales intelligence models including the development of advertiser insights recommendations and Generative AI-powered applications throughout account team workflows.

- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- Ph.D. in Computer Science Information Retrieval Machine Learning Natural Language Processing Reinforcement Learning Mathematics or a related field plus 5 years of relevant experience or Masters degree plus 10 years of relevant work experience
- 2 years demonstrated experience with Large Language Model (LLM) and Foundational Model post-training continual pre-training fine-tuning or reinforcement learning techniques.
- Scientific publication track record at top-tier AI/ML/NLP conferences or journals

- Experience building machine learning models or developing algorithms for business application
- Proven track record of delivering scalable and high-quality ML/ NLP / Gen AI solutions (models and infrastructure) to customers and experience with building conversational experiences and AI agents.
- Strong communication skills with the ability to clearly convey complex technical concepts to diverse audiences including senior leadership.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $165500/year in our lowest geographic market up to $286000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity sign-on payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.