Applied Scientist, Machine Learning Accelerator, Sales Partner Services

Do you wish to join an innovative group of scientists who use machine learning and statistical methods to help Amazon deliver the best customer service by automatically reducing risk and offering solutions? Do you want to develop sophisticated algorithmic systems that oversee the trust and safety for millions of customer communications each day? Does the idea of analyzing and modeling terabytes of data and developing cutting-edge algorithms to address real-world problems excite you? Would you like creating end-to-end business solutions and directly influence the company's profitability? Do you enjoy innovation and process simplification? If you answer positively, you might be the perfect fit for our Machine Learning Accelerator team within the Amazon Selling Partner Services (SPS) group. Main responsibilities include: - Employing statistical and machine learning methods to develop scalable risk management and support systems. - Analyzing large volumes of Amazon's historical business data for particular risk instances or wider risk trends. - Design, development, and assessment of innovative models for risk management. - Collaborating with scientists and software engineers to bring real-time model applications and new feature creations into practice. - Establishing scalable, efficient, automated methods for large-scale data analyses, model development, model validation, and model execution. - Researching and implementing novel machine learning and statistical approaches. Please visit [https://www.amazon.science] for further information. An Applied Scientist II in the Selling Partner Services (SPS) Machine Learning Accelerator (MLA) team is charged with researching and prototyping machine learning applications that address strategic business issues across SPS domains. Besides, the scientist partners with engineers and business colleagues to develop and implement large-scale solutions when deemed beneficial to SPS organizations. They introduce tools that simplify problem-solving processes, display depth and competency in numerous areas, and influence the team's technical strategy with insightful contributions. They also develop tools and practices that streamline the team's work, mentor junior team members, and participate in hiring. We invite applications for positions based in Seattle, WA, USA. Basic Qualifications: - PhD, or Master's degree with 4+ years of experience in Computer Science, Computer Engineering, Machine Learning, or related field. - Experience programming in Java, C++, Python, or similar language. - Knowledge in any of these areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. Preferred Qualifications: - Experience using Unix/Linux. - Professional software development experience. Amazon is committed to diversity and equality in the workplace. We are an equal opportunity employer and do not discriminate on any lawful basis. If you have a disability and would like to request accommodation, please visit https://www.amazon.jobs/en/disability/us. Our salaries reflect labor costs across US geographic markets. The annual pay for this position ranges from $136,000 in our lowest geographic market to $222,200 in our highest one. Factors such as market location and job-related skills and knowledge can affect the pay rate. Other forms of compensation like equity, sign-on payments may also be part of the total compensation package, in addition to medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Please apply via our internal or external career site.