BOLDx (Brands, OTT, Live Gaming, Display Advertising Experiences) is 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, & personal.
We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry.
We are seeking a science leader for our team within Sponsored 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, USA, New-York, NY
Key job responsibilities
- 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
- Build POCs, experiment, optimize and deploy models into production
- Partner with other Science teams within the org to deliver features for a net new shopper experience
- Run experiments / weblabs and be able to perform statistical analysis
- Mentor other scientists on the team
- Partnering with Principal PMT and SDM to influence the Product strategy
Nice to have
- Experience in Ads recommendations & information / evidence retrieval
- Experience working with Large Language Models & Prompt Engineering
We are open to hiring candidates to work out of one of the following locations :
New York, NY, USA Seattle, WA, USA
BASIC QUALIFICATIONS
- 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
PREFERRED QUALIFICATIONS
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.
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