POSTED Dec 3
Applied Scientist, Conversational Ad Experiences - Sponsored Products & Brands
at Amazon ⋅ US, NY, New York
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.
We are seeking an applied scientist for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
Key job responsibilities
- Drive end-to-end generative AI projects that have a high degree of ambiguity, scale, and complexity.
- Perform hands-on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience.
- Train generative AI and machine learning models, run proof-of-concept experiments, optimize, and deploy models at scale in production.
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
- Research new and innovative generative AI and machine learning approaches.
- Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge science can help improve customer experience.
- Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.
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.
We are seeking an applied scientist for our team within the Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams, and has experience in generative AI, large language models (LLMs), information retrieval, and recommendation systems. Using a combination of generative AI and online experimentation, our scientists develop insights and optimizations that enable the monetization of Amazon properties while enhancing the experience of hundreds of millions of Amazon shoppers worldwide. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!
Key job responsibilities
- Drive end-to-end generative AI projects that have a high degree of ambiguity, scale, and complexity.
- Perform hands-on analysis of data sets to identify insights and build models that enhance traffic monetization, merchandise sales, and the overall shopper experience.
- Train generative AI and machine learning models, run proof-of-concept experiments, optimize, and deploy models at scale in production.
- Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production.
- Research new and innovative generative AI and machine learning approaches.
- Work closely with product managers to contribute to our mission, and proactively identify opportunities where cutting edge science can help improve customer experience.
- Be a member of the Amazon-wide machine learning community, participating in internal and external meetups, hackathons and conferences.