We are seeking a motivated and talented Applied Scientist to join our team at Amazon Advertising where we are on a mission to make Amazon the best in class destination for shoppers to discover engage and build affinity with brands making shopping beautiful delightful and personal. Our team builds the central Brand Understanding foundation for Amazon ads and beyond. We focus on enabling the Amazon brand ads businesses to align the customers brand shopping intent with the brands unique value (e.g. intelligent query/shoppertobrand understanding brand value/differentiator attribute extraction and brand profile building). We provide largescale offline and online Brand Understanding data services powered by the latest Machine Learning technologies (e.g. Large Language Models MultiModal Deep Neural Networks Statistical Modeling). We also enable customerbrand engagement enhancement through intelligent UX and efficient ads serving.
About Amazon Advertising: Amazon Advertising operates at the intersection of eCommerce and advertising offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on across our other owned and operated sites on other high quality sites across the web and on millions of mobile devices. We start with the customer and work backwards in everything we do including advertising. If youre interested in joining a rapidly growing team working to build a unique worldclass advertising group with a relentless focus on the customer youve come to the right place.
Key job responsibilities Leverage Large Language Models (LLMs) and transformerbased models and apply machine learning and natural language understanding techniques to improve the shopper and advertiser experience at Amazon. Perform handson data analysis and modeling with large data sets to develop insights. Run A/B experiments evaluate the impact of your optimizations and communicate your results to various business stakeholders Work closely with product managers and software engineers to design experiments and implement endtoend solutions Be a member of the Amazonwide machine learning community participating in internal and external hackathons and conferences Help attract and recruit technical talent
PhD or Masters degree and 4 years of CS CE ML or related field experience Experience programming in Java C Python or related language Experience implementing algorithms using both toolkits and selfdeveloped code 3 years of practical machine learning experience 1 years of building models for business application experience
3 years of building machine learning models for business application experience Experience in professional software development Solid ML background and experience with NLP and LLM algorithms and tools Excellent verbal and written communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
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