Sr. Applied Scientist, Sponsored Products
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Job Location:
Arlington, TX - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies revolutionizing how millions of customers discover products and engage with brands across and beyond. We are at the forefront of re-inventing advertising experiences bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers enhance the shopping experience and strengthen the marketplace. If youre energized by solving complex challenges and pushing the boundaries of whats possible with AI join us in shaping the future of advertising.
About our team
The SPB Offsite team builds solutions to extend campaigns to reach customers off the store and extend shopping experiences on third party sites where shoppers search and discover products. We use industry leading machine learning high scale low latency systems and AI technologies to create better sponsored customer experiences off the store. This role will have deep interest in building the next innovations in ad tech and shopping wherever shoppers go. You will work with external and internal partners to connect ad tech systems understand customers and drive results at scale. You are a deeply technical leader who operates with a GenAI first approach to product engineering and science based solutions.
Key job responsibilities
- Lead science and engineering needs across ad systems and models that power sponsored products ads for offsite shopping experiences.
- Collaborate with peers across engineering and product to bring scientific innovations into production.
- Surface qualitative and quantitative insights to shape product direction and ensure product-market fit.
- Design and implement advanced model and agent optimization techniques including supervised fine-tuning instruction tuning and preference optimization.
- Develop agentic architectures (e.g. CoT ToT ReAct) that integrate planning tool use and long-horizon reasoning.
- Prototype and iterate on multi-agent orchestration frameworks and workflows.
- Stay current with the latest research in LLMs RL and agent-based AI and translate findings into practical applications.
- 3 years of building machine learning models for business application experience
- PhD or Masters degree and 6 years of applied research experience
- Knowledge of programming languages such as C/C Python Java or Perl
- 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.
- Experience in search advertising search marketing performance advertising or similar digital advertising
- Ph.D. in computer science mathematics statistics machine learning or equivalent quantitative field
- Strong technical fluency in Generative AI
- Deep understanding of large language models (LLMs) model fine tuning and prompt engineering
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 NY New York - 183800.00 - 248700.00 USD annually
USA VA Arlington - 167100.00 - 226100.00 USD annually
USA WA Seattle - 167100.00 - 226100.00 USD annually
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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