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Job Description
Applied Scientist II, Customer360 Amazon.com Services
LLC - 3.5
Seattle, WA Job Details Full-time $142,800 - $193,200 a year 4 hours ago Benefits AD&D insurance Health insurance Dental insurance Flexible spending account RSU Paid time off Adoption assistance Parental leave Employee assistance program Vision insurance 401(k) matching Qualifications AI models Research design Software engineering Computational research Data mining High-performance computing clusters Data structures Design of experiments Generative models UNIX Mid-level Java Master's degree Collaboration with product development teams C++ Machine intelligence Doctor of Philosophy Distributed systems Developing large-scale AI models Natural language processing Software development Data-driven problem-solving AI implementation Algorithm design research Distributed computing 4 years Content personalization strategy Python Generative AI Analytics Full Job Description
DESCRIPTION
Are you a scientist passionate about advancing Information Retrieval, NLP, and Large Language Models? Are you interested in innovating on behalf of millions of customers, helping them discover what they need in the moments that matter? Do you want access to massive datasets, world-class compute, and the freedom to reason from first principles on novel problems? If so, you'll be a great fit for our team at Amazon. Our team is part of Amazon's Personalization organization, a high-performing group that leverages Amazon's expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. We build large-scale machine-learning solutions that delight customers with personalized and up-to-date experiences that are relevant to their interests. We are a team uniquely placed within Amazon to shape how customers will think about their shopping journey in the future. Key job responsibilities As an Applied Scientist in our team, you will be responsible for the research, design, and development of new AI technologies for personalization. You will adopt or invent new machine learning and analytical techniques in the realm of recommendations, information retrieval, and large language models. You will collaborate with scientists, engineers, and product partners locally and abroad. Your work will include inventing, experimenting with, and launching new features, products, and systems.
Please visit https:
//www.amazon.science for more information. A day in the life You will solve real-world problems by analyzing large-scale customer data, generating insights and hypotheses, executing experiments, and developing statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the organization. You communicate findings clearly to influence technical and product decisions. You innovate on behalf of the customer and build models that improve personalization experiences across Amazon. About the team The team values innovation and offers a safe place to try, fail, and learn while fostering continuous improvement. Everyone is a leader and owner for everything we do as a team. Our team offers creative space with an entrepreneurial work environment focusing on customer obsession.
BASIC QUALIFICATIONS
3+ years of building models for business application experience PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience Experience programming in Java, C++, Python or related language Experience building machine learning models or developing algorithms for business application Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. USA, WA, Seattle - 142,800.00 - 193,200.00 USD annually
