Manager, Applied Science, Sales AI

Are you excited about leading a team of scientists to solve complex high-impact problems using machine learning and data-driven approaches At Amazon Advertising Sales we are looking for an experienced Applied Science Manager who can build grow and guide a team that delivers research and production-quality this role you will own the strategic direction of your teams scientific roadmap partner closely with business and technical leaders and ensure your teams work directly shapes important decisions and customer-facing products. You will bridge the gap between science technology and business translating ambiguous challenges into clear research agendas and actionable results. We are specifically looking to build AI agents that can operate accurately at large scale helping transform the way account teams operate and optimize their end-to-end workflows. We are looking for a deeply scientific leader that brings their expertise in Natural Language Processing Large Language Models Reinforcement Learning Deep learning and/or Recommender Systems to bring exciting new products come to life. If you are a thoughtful collaborative leader who thrives on turning scientific innovation into measurable impact we want to hear from you.

Key job responsibilities
- Lead and manage a team of applied scientists and analysts setting the strategic direction and roadmap for scientific research that influences organizational goals and annual planning processes.
- Partner with business and technical stakeholders to define vision priorities and success criteria ensuring your team builds the right solutions at the right level of fidelity and that final outputs are ready to inform business decisions or move to production.
- Evaluate and improve machine learning model accuracy and performance using rigorous experimentation feature engineering and hyperparameter optimization while establishing a team culture focused on reproducibility and scientific rigor.
- Hire develop and mentor scientists and technical contributors providing growth opportunities and empowering team members to take ownership of key workstreams and deliver results independently.
- Identify opportunities for new analysis efficiency improvements and generative AI integration allocating resources effectively and proactively mitigating risks before they become roadblocks.

A day in the life
You start your morning reviewing experiment results with your scientists asking probing questions about model assumptions and business relevance. Mid-morning you join a cross-functional meeting with engineering and product partners to align on priorities for an upcoming launch. After lunch you conduct a one-on-one with a team member coaching them on a new research proposal. Later you draft a narrative summarizing your teams quarterly progress and outline next steps for leadership review. Throughout you balance hands-on technical guidance with strategic planning to keep your team delivering high-quality science.

About the team
Sales AI is focused on applying scientific research and machine learning to solve real problems that matter to Amazon and its advertising customers. We value intellectual curiosity collaboration and a commitment to building inclusive high-performing teams. We believe that great science happens when people with different perspectives work together toward a shared mission. As we continue to grow you will play a key role in shaping the teams direction expanding our capabilities and ensuring our work has lasting impact across the business.

- 3 years of scientists or machine learning engineers management experience
- Knowledge of ML NLP Information Retrieval and Analytics
- PhD or Masters degree and 6 years of applied research experience
- Knowledge of machine learning approaches and algorithms

- Experience building machine learning models or developing algorithms for business application
- Experience building complex software systems especially involving deep learning machine learning and computer vision that have been successfully delivered to customers
- Experience with autonomous AI services and associated model development
- Experience with sequential recommendation user intent/mission modeling or behavioral modeling
- Experience with LLM training fine-tuning or adaptation (e.g. tokenizer modification domain adaptation)

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

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA SEATTLE - 183800.00 - 248700.00 USD annually