Do you want to lead the development of advanced machine learning systems that protect millions of customers and power a trusted global eCommerce experience?<br/><br/>Are you passionate about modeling terabytes of data, solving highly ambiguous fraud and risk challenges, and driving step-change improvements through scientific innovation?<br/><br/>If so, the Amazon Buyer Risk Prevention (BRP) Machine Learning team may be the right place for you.<br/><br/>We are seeking a Senior Applied Scientist to define and drive the scientific direction of large-scale risk management systems that safeguard millions of transactions every day. In this role, you will lead the design and deployment of advanced machine learning solutions, influence cross-team technical strategy, and leverage emerging technologies—including Generative AI and LLMs—to build next-generation risk prevention platforms.<br/><br/>Key job responsibilities<br/>Lead the end-to-end scientific strategy for large-scale fraud and risk modeling initiatives<br/><br/>Define problem statements, success metrics, and long-term modeling roadmaps in partnership with business and engineering leaders<br/><br/>Design, develop, and deploy highly scalable machine learning systems in real-time production environments<br/><br/>Drive innovation using advanced ML, deep learning, and GenAI/LLM technologies to automate and transform risk evaluation<br/><br/>Influence system architecture and partner with engineering teams to ensure robust, scalable implementations<br/><br/>Establish best practices for experimentation, model validation, monitoring, and lifecycle management<br/><br/>Mentor and raise the technical bar for junior scientists through reviews, technical guidance, and thought leadership<br/><br/>Communicate complex scientific insights clearly to senior leadership and cross-functional stakeholders<br/><br/>Identify emerging scientific trends and translate them into impactful production solutions
- 3+ years of building machine learning models for business application experience<br/>- PhD, or Master's degree and 5+ years of applied research experience<br/>- Experience programming in Java, C++, Python or related language<br/>- Experience with neural deep learning methods and machine learning
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.<br/>- Experience with large scale distributed systems such as Hadoop, Spark etc.<br/><br/>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 <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Source: Amazon careers — Read the original posting and apply
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