Amazon Jobs is hiring: Applied Scientist II, Amazon Selling Partner Trust & Stor

Applied Scientist II, Amazon Selling Partner Trust & Store Integrity Science, Amazon Selling Partner Trust & Store Integrity Science

Pay $136000.00 / year

Location Seattle/Washington

Employment type Full-Time

Job Description

• Req#: 3095715 Are you passionate about applying machine learning and advanced statistical techniques at the scale of one of the world's largest product catalogs? Do you want to be at the forefront of developing innovative solutions that safeguard Amazon's product catalog while empowering millions of Selling Partners to thrive? Do you thrive in a collaborative environment where diverse perspectives drive breakthrough solutions? If yes, we invite you to join the Amazon Risk Intelligence Science Team. We're seeking an exceptional scientist who can revolutionize how we protect our marketplace through intelligent automation. As a key member of our team, you'll develop and deploy state-of-the-art machine learning systems that analyze millions of product listings daily, ensuring the integrity and trustworthiness of Amazon's catalog while scaling our operations to new heights. Your work will directly impact the quality of the shopping experience for hundreds of millions of customers worldwide.
• Key job responsibilities: Use machine learning and statistical techniques to create scalable catalog abuse detection solutions that identify listing violations, selling partner integrity, and content manipulation; Innovate with the latest GenAI technology to build highly automated solutions for efficient catalog monitoring, content verification, and automated listing compliance; Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment; Learn, explore and experiment with the latest machine learning advancements to protect selling partner trust and integrity
• A day in the life: You'll be working closely with business partners and engineering teams to create end-to-end scalable machine learning solutions that address real-world problems. You will build scalable, efficient, and automated processes for large-scale data analyses, model development, model validation, and model implementation. You will also be providing clear and compelling reports for your solutions and contributing to the ongoing innovation and knowledge-sharing that are central to the team's success.
• Qualifications: PhD, or Master's degree and 3+ years of CS, CE, ML or related field experience; 3+ years of building machine learning models or developing algorithms for business application experience; Experience programming in Java, C++, Python or related language; Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing; Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF; Experience in patents or publications at top-tier peer-reviewed conferences or journals
• Additional information: 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 our accommodations page for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 our benefits page. This position will remain posted until filled. Applicants should apply via our internal or external career site.

About the company

Amazon.com, Inc. is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and artificial intelligence. It is one of the Big Five companies in the U.S. information technology industry, along with Google, Apple, Microsoft, and Facebook. The company has been referred to as "one of the most influential economic and cultural forces in the world", as well as the world's most valuable brand.

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