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Amazon
Seattle
Description We’re building a foundational LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact
Job Source: AmazonAmazon
Seattle
Description We’re building a foundation LLM for Amazon Stores that fuses general world knowledge with Amazon e-commerce domain knowledge to provide new and improved shopping experiences for our customers. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on
Job Source: AmazonAmazon
Seattle
Description The Item and Relationship Identity Systems (IRIS) team in WW Amazon Stores is looking for a passionate and talented Senior Applied Scientist with a strong background in deep learning and multimodal AI, to lead the development of industry-leading multimodal machine learning models to help us make the world’s best product catalog even bet
Job Source: AmazonAmazon
Seattle
Description Our team's mission is to improve Shopping experience for customers interacting with Amazon devices via voice. We work with Alexa and multiple other teams to research and develop advanced state-of-the-art speech technologies. Do you want to be part of the team developing the latest technology that impacts the customer experience of groun
Job Source: AmazonAmazon
Bellevue
Description The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Senior Applied Scientist, with expertise in machine learning and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team. We want to learn seller behaviors, understand seller exp
Job Source: AmazonAmazon
Seattle
Description Amazon Fashion Technology is looking for a Sr. Applied Scientist to lead our ML visioning, roadmap planning, as well as building Machine Learning solutions to solve economic problems at scale. Discovery uses Machine Learning, Deep Learning, Reinforcement Learning, and Causal Inference to derive actionable insights about the complex econ
Job Source: AmazonAmazon
Seattle
Description The Item and Relationship Identity Systems (IRIS) team in WW Amazon Stores is looking for a passionate and talented Applied Science Manager with a strong background in deep learning and multimodal AI, to lead a team of Scientists in the development of industry-leading multimodal machine learning models to help us make the world’s best p
Job Source: AmazonAmazon
Seattle
Description Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Applied Scientist with a solid backg
Job Source: AmazonSeattle
Description
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.
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 mazon.jobs/en/disability/us.
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 boutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Email Alert for Senior Applied Scientist, Amazon_ jobs in Seattle
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