We are seeking a motivated and talented Senior 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 customer's brand shopping intent with the brand's unique value (e.g., intelligent query/shopper-to-brand understanding, brand value/differentiator attribute extraction, and brand profile building). We provide large-scale offline and online Brand Understanding data services, powered by the latest Machine Learning technologies (e.g., Large Language Models, Multi-Modal Deep Neural Networks, Statistical Modeling). We also enable customer-brand 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 Amazon.com, 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 you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.
Key job responsibilities
- Drive and lead strategic initiatives to employ the most recent advances in ML/AI in a fast-paced environment.
- Leverage Large Language Models (LLMs) and transformer-based models, and apply machine learning and natural language understanding techniques to improve the shopper and advertiser experience at Amazon.
- Perform hands-on 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 end-to-end solutions
- Be a member of the Amazon-wide machine learning community, participating in internal and external hackathons and conferences
- Mentor and grow scientists in the team, and help attract and recruit technical talent- 3+ years of building machine learning models for business application experience
- PhD, or Master's 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 in applied research
- 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.
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
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
