Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.

This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.

As a Principal Applied Scientist for the team, you will drive appropriate technology choices for the customers and the business, lead the way for continuous innovation, and shape the future of e-commerce. You will have opportunity to apply your deep subject matter expertise in the area of large language models and generative AI across various modalities. You will work with multiple teams of scientists and engineers to translate business and functional requirements into concrete deliverables. You will invent new product experiences that enable our shoppers to easily navigate our vast inventory either via search queries, multi-turn conversations, or other modes of input. You will liaise with internal Amazon partners and work on bringing state-of-the-art GenAI models to production to power novel conversational experiences. You will stay abreast of the latest developments in the space of GenAI and identify opportunities to improve the efficiency and productivity of the team. You will contribute to defining a long-term science vision for our advertising business in the area of conversational shopping and beyond.

BASIC QUALIFICATIONS

* Graduate degree in Computer science/Math or related field.

* Experience in building complex, real-time systems involving AI, ML, and NLP with successful delivery to customers.

* Demonstrated track record of project delivery for large, cross-functional projects with evolving requirements.
* Ability to take a project from requirements gathering and design to actual product launch

* Good grasp of computer Science fundamentals in data structures, algorithm design and complexity analysis.

* Ability to develop machine learning platform strategy in the domain of recommender systems.

* Strong customer understanding skills including the ability to discover the true challenges to efficient product discovery, and experience in leading science efforts to meet aggressive timelines with optimal solutions.


PREFERRED QUALIFICATIONS

* Experience with building foundational AI models.
* Experience with building Generative AI applications, including conversational systems.
* Experience with advertising systems and applications.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $179,000/year in our lowest geographic market up to $309,400/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.