Senior Applied Scientist , Amazon Ads

Your Next Big Challenge Starts Here

Youve spent years mastering machine learning. Now imagine applying that expertise where it actually reaches billions of people every single day.

At Amazon Ads were not just running ads. Were re-inventing the entire advertising experience using generative AI large language models and next-generation ML. From the moment a brand crafts a campaign to the instant a customer discovers something they love your science powers it all.

Billions of impressions. Millions of clicks. Petabytes of data. And you at the center of it.
Why This Role Will Excite You

Unmatched scale and resources. Youll have access to computational power and datasets most scientists only dream about. Build solutions that dont just work in a notebook they work at planet scale.

Breadth that keeps you sharp. One quarter you might be optimizing real-time bidding systems. The next youre building creative AI that generates ad content. Ranking personalization NLP computer vision LLMs its all on the table.

Your ideas ship. This isnt a research lab where papers collect dust. Youll take models from concept to production run A/B experiments and see your work move metrics that matter for advertisers customers and the business.

People who push you forward. Youll collaborate with world-class engineers scientists and product leaders who are just as passionate about solving hard problems as you are.

What Youll Actually Do

Research and build next-generation ML solutions including generative AI and LLM applications that transform how advertising works
Own end-to-end projects: from messy ambiguous problems to deployed production-grade models
Design experiments that validate your hypotheses and measure real business impact
Build models that balance whats best for customers and advertisers because great advertising should feel helpful not intrusive
Work cross-functionally with engineers PMs and fellow scientists to ship fast and iterate faster
Develop scalable ML pipelines that optimize monetization without sacrificing customer experience

Where This Takes Your Career

Whether you want to go deep as a technical IC or grow into people leadership both paths are real here. Youll have opportunities to:

Lead high-visibility technical initiatives
Mentor and grow other scientists
Shape strategy alongside senior leadership
Build a reputation in a community that genuinely values scientific excellence

Your work wont just be seen internally itll impact millions of customers and advertisers worldwide.
Watch Scientists at Amazon Ads Talk About Their Work

More About Amazon Ads

Qualifications

5 years building ML models for real business applications
PhD or Masters degree 6 years of applied research experience
Strong programming skills in Python Java C or similar
Hands-on experience with deep learning and neural network methods

Preferred Qualifications

Experience with tools like scikit-learn TensorFlow PyTorch Spark MLLib MxNet numpy scipy
Experience with large-scale distributed systems (Hadoop Spark etc.)


- 3 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. 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 CA Palo Alto - 192200.00 - 260000.00 USD annually
USA CA Santa Monica - 167100.00 - 226100.00 USD annually
USA CA Sunnyvale - 192200.00 - 260000.00 USD annually
USA MA Boston - 167100.00 - 226100.00 USD annually
USA MD Washington DC - 167100.00 - 226100.00 USD annually
USA NY New York - 183800.00 - 248700.00 USD annually
USA NY New York City - 183800.00 - 248700.00 USD annually
USA VA Arlington - 167100.00 - 226100.00 USD annually
USA WA Bellevue - 167100.00 - 226100.00 USD annually
USA WA SEATTLE - 167100.00 - 226100.00 USD annually