Sr. Applied Scientist, Community Data
hace 3 semanas
Sr. Applied Scientist, Community Data & ScienceJob ID: 2802449 | Amazon Spain Services, S.L.U.The Community Feedback organization powers customer-generated features and insights that help customers use the wisdom of the community to make unregretted shopping decisions. Today our features include Customer Reviews, Content Moderation, and Customer Q&A (Ask), however our mission and charter are broader than these features. We are focused on building a rewarding and engaging experience for contributors to share their feedback, and providing shoppers with trusted insights based on this feedback to inform their shopping decision.The Community Data & Science team is looking for a passionate, talented, and inventive Senior Applied Scientist with a background in AI, Gen AI, Machine Learning, and NLP to help build LLM solutions for Community Feedback. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team and are ready to make a lasting impact on the future of AI-powered shopping, we invite you to join us on this exciting journey to reshape shopping.Please visit Amazon Science for more information.Key job responsibilitiesAs a Senior Applied Scientist, you will work on state-of-the-art technologies that will result in published papers.However, you will not only theorize about the algorithms but also have the opportunity to implement them and see how they perform in the field.Our team works on a variety of projects, including state-of-the-art generative AI, LLM fine-tuning, alignment, prompt engineering, and benchmarking solutions.You will also mentor junior scientists on the team.About the teamThe Community Data & Science team focuses on analyzing, understanding, structuring, and presenting customer-generated content (in the form of ratings, text, images, and videos) to help customers use the wisdom of the community to make unregretted purchase decisions. We build and own ML models that help with i) shaping the community content corpus both in terms of quantity and quality, ii) extracting insights from the content, and iii) presenting the content and insights to shoppers to eventually influence purchase decisions. Today, our ML models support experiences like content solicitation, submission, moderation, ranking, and summarization.BASIC QUALIFICATIONS3+ years of building machine learning models for business application experience.PhD, or Master's degree and 5+ years of applied research experience.Experience programming in Java, C++, Python, or related language.Experience with neural deep learning methods and machine learning.PREFERRED QUALIFICATIONSPhD and 7+ years of post-PhD academic or industry applied research experience in building and deploying models for business applications.Experience with professional software development.Publications at top-tier peer-reviewed conferences or journals.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit Accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.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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Sr. Applied Scientist, Community Data
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España ENGINEERINGUK A tiempo completoSr. Applied Scientist, Community Data & ScienceDESCRIPTIONThe Community Feedback organization powers customer-generated features and insights that help customers use the wisdom of the community to make unregretted shopping decisions. Today, our features include Customer Reviews, Content Moderation, and Customer Q&A (Ask); however, our mission and charter are...
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España Amazon A tiempo completoSr. Applied Scientist, Community Data & ScienceJob ID: 2802449 | Amazon Spain Services, S.L.U.The Community Feedback organization powers customer-generated features and insights that help customers use the wisdom of the community to make unregretted shopping decisions. Today our features include Customer Reviews, Content Moderation, and Customer Q&A (Ask),...
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España ENGINEERINGUK A tiempo completoApplied Scientist Manager, EU InTech, Item Data Quality (IDQ)DESCRIPTIONAt Amazon, we are committed to being the Earth's most customer-centric company. The International Technology group (InTech) owns the enhancement and delivery of Amazon's cutting-edge engineering to all the varied customers and cultures of the world. We do this through a combination of...
