Description Are you passionate about machine learning? Do you want to drive the innovation behind real-world recommendation systems? Do you want to impact what is shown to Amazon customers across the website by innovating with Amazon scale data? We are looking for a passionate engineer to help lead efforts on our centralized recommendation services team. We are growing our team in New York City (NYC) and looking for the right member to enhance and advance our machine learning services. Our team focuses on optimizing the customer experience on Amazon.com primarily through content recommendation and related optimizations of the customer. We operate a central service for ranking and optimization decisions as well as the backend infrastructure and algorithms to support these decisions. We are looking for a software developer with experience across the whole machine learning lifecycle to help us expand our ability to optimize for customers by developing and maintaining cutting-edge machine learning systems. Key job responsibilities * Push the boundaries of real-world recommendation and optimization systems * Support science, engineering and product development on a scale only seen at Amazon. * Obsess over customer needs and satisfaction. * Create intellectual property, influence others while demonstrating significant creativity and being vocally self-critical. * Architect for growth in the system’s content, use cases, and users. * Operate hands-on and as an implementer of algorithms and models delivered to production systems. * Work with partners to address concerns and incorporate subject matter expertise into our modeling efforts. About the team We are a high performing team that works on the full software life-cycle with a huge emphasis on diving deep and experimenting rapidly leveraging Amazon’s Machine Learning/Big Data expertise. We design, experiment, implement, test and iterate and our goal is to make the Amazon ecosystem experience uniquely personal. Our org (a.k.a P13N) revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You” and we are looking for creative and innovative engineers with a penchant for deep technical problem solving and the ability to lead and mentor other engineers across teams/divisions. Basic Qualifications - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language - Experience in machine learning, data mining, information retrieval, statistics or natural language processing. - Big Data Preferred Qualifications - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent - Experience in machine learning, data mining, information retrieval, statistics or natural language processing - Experience building complex software systems that have been successfully delivered to customers 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. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/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 https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.