The Advertising Trust org is responsible for ensuring that ads are relevant and is of good quality, leading to higher conversion for the sellers and providing a great experience for the customers. We are also responsible for building a smooth advertiser experience, communicating advertising policies and moderation outcomes effectively and helping advertisers build complaint campaigns. We deal with one of the world's largest product catalog, handle billions of requests a day with plans to grow it by order of magnitude and use automated systems to validate tens of millions of offers submitted by thousands of merchants in multiple countries and languages.
Key job responsibilities
In this role, you will build and develop Agentic solutions and ML models to address content understanding problems in Ads. These agents and models will rely on a variety of multimodal, visual and textual features requiring expertise in these domains. These models need to scale to multiple modalities, languages and countries. You will collaborate with engineers, product managers, and other scientists to build, train and deploy these models and agents. As part of these activities, you will develop production level code that enables moderation of millions of ads submitted each day.
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience building machine learning models or developing algorithms for business application
- Experience in solving business problems through machine learning, data mining and statistical algorithms
- Experience with multi-modal ML models, AI Agents, RAG, transformers, and vector representations.
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
- 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.
- Strong Statistics background and experience is sampling strategies, defining and measurement of business metrics.
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 https://amazon.jobs/en/benefits.
USA, CA, San Diego - 142,800.00 - 193,200.00 USD annually
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually
