Senior Applied Scientist, Amazon Advertising - Sponsored Products & Brands Job a

Senior Applied Scientist, Amazon Advertising - Sponsored Products & Brands

Job ID: 2821401 | Amazon.com Services LLC

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 a science leader for our team within Sponsored Products & Brands organization. You'll be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements, working with various partner teams and SDEs and have experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. 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!

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA and New-York, NY

Key job responsibilities

1. Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team
2. Build POCs, experiment, optimize and deploy models into production
3. Partner with other Science teams within the org to deliver features for a net new shopper experience
4. Run experiments/weblabs and be able to perform statistical analysis
5. Mentor other scientists on the team
6. Partnering with Principal PMT and SDM to influence the Product strategy

BASIC QUALIFICATIONS

1. 3+ years of building machine learning models for business application experience
2. PhD, or Master's degree and 6+ years of applied research experience
3. Experience programming in Java, C++, Python or related language
4. Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

1. Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
2. Experience with large scale distributed systems such as Hadoop, Spark etc.

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.

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