Sr. Applied Scientist, Amazon Ads

Application deadline: Applications will be accepted on an ongoing basis

Amazon Ads is re-imagining advertising through cutting-edge generative AI technologies. We combine human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. Our solutions help advertisers grow their brands while enabling millions of customers to discover and purchase products through delightful experiences. We deliver billions of ad impressions and millions of clicks daily breaking fresh ground in product and technical innovations. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.

Key job responsibilities
As an Applied Scientist in Amazon Ads you will:
- Research and implement cutting-edge ML approaches including applications of generative AI and large language models
- Develop and deploy innovative ML solutions spanning multiple disciplines from ranking and personalization to natural language processing computer vision recommender systems and large language models
- Drive end-to-end projects that tackle ambiguous problems at massive scale often working with petabytes of data
- Build and optimize models that balance multiple stakeholder needs - helping customers discover relevant products while enabling advertisers to achieve their goals efficiently
- Build ML models perform proof-of-concept experiment optimize and deploy your models into production working closely with cross-functional teams including engineers product managers and other scientists
- Design and run A/B experiments to validate hypotheses gather insights from large-scale data analysis and measure business impact
- Develop scalable efficient processes for model development validation and deployment that optimize traffic monetization while maintaining customer experience


A day in the life
Why you will love this role: This role offers unprecedented breadth in ML applications and access to extensive computational resources and rich datasets that enable you to build truly innovative solutions. Youll work on projects that span the full advertising lifecycle - from sophisticated ranking algorithms and real-time bidding systems to creative optimization and measurement solutions.

Youll also work alongside talented engineers scientists and product leaders in a culture that encourages innovation experimentation and bias for action where youll directly influence business strategy through your scientific expertise. What makes this role unique is the combination of scientific rigor with real-world impact. Youll re-imagine advertising through the lens of advanced ML while solving problems that balance the needs of advertisers customers and Amazons business objectives.


About the team
Your impact and career growth: Amazon Ads is investing heavily in AI and ML capabilities creating opportunities for scientists to innovate and make their mark. Your work will directly impact millions. Whether you see yourself growing as an individual contributor or moving into people management there are clear paths for career progression. This role combines scientific leadership organizational ability technical strength and business understanding. Youll have opportunities to lead technical initiatives mentor other scientists and collaborate with senior leadership to shape the future of advertising technology. Most importantly youll be part of a community that values scientific excellence and encourages you to push the boundaries of whats possible with AI.

Watch two applied scientists at Amazon Ads talk about their work:
more about Amazon Ads:
5 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Experience programming in Java C Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R scikit-learn Spark MLLib MxNet Tensorflow numpy scipy etc.
- Experience with large scale distributed systems such as Hadoop Spark etc.

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.

The base salary range for this position is listed below. For salaried roles your Amazon package will include listed 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 $167100 - $226100 annually
National $150400 - $260000 annually