7/9/2023 0 Comments Warp frontier reviewThis is a track record we are proud of and will continue to uphold. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow. We care deeply about our customers, as well as the well-being and growth of our team members. We run hundreds of experiments each year and our work has revolutionized e-commerce with features such as “Customers Who Bought Also Bought” and “Recommended for You”. Our team’s culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. ![]() We work end-to-end, from foundational backend systems to future-forward user interfaces. ![]() About the team Amazon’s Personalization organization is a small, high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. The challenges we take on can involve a mix of large-scale distributed systems, big data technologies, machine learning science, and require a keen sense of customer obsession and long-term strategic thinking. This role will demand resourcefulness and a fearless willingness to learn on both the technical and business side. You should have an entrepreneurial spirit, love autonomy, know how to deliver, and long for the opportunity to build pioneering solutions to challenging problems. You should be willing to dive deep when needed, move rapidly with a bias for action, and get things done. As a key member of the team, you will oversee all aspects of the software lifecycle: design, experimentation, implementation, and testing. You must have a demonstrated ability for optimizing, developing, launching, and maintaining large-scale production systems. Key job responsibilities This role requires outstanding technical skills, a deep understanding of machine learning, and a passion for using AI to build a great user experience. This position will also require regular communication with senior management on status, risks, and strategy. This role requires working closely with product management to define strategy and requirements, and leading a development team from design through delivery and subsequent operation. You should have an established track record of launching customer-facing experiences, deep technical ability, and excellent project management and communication skills. As an Applied Science Manager, you will be responsible for ensuring your team successfully delivers on design, development, testing, experimentation, and the operations of algorithms, datasets, and systems your team owns. You communicate clearly, and hold yourself and your team to a high bar. You challenge yourself and others to constantly come up with better solutions, and can deliver on a technical roadmap that serves our customers and the business optimally. You enjoy leading and mentoring others, and want to work on projects that require innovative and creative thinking alongside deep technical problem solving. While your career is full of individual wins, it is now more fulfilling when your team is able to build, deliver, and impress. About you: You're a former engineer or scientist who can see the bigger picture. This team will need to deliver experiences that delight customers and create long-term value for the company through the use of modern AI. We are responsible for one of the largest and fastest-growing businesses in the company, and are seeking an strong leader to build a team of world-class software engineers and scientists that will deliver on an Amazon-critical charter. This is a unique opportunity that combines the ability to build exciting, new user experiences for Amazon's customers, with the opportunity to work with large-scale AI to provide the most personalized shopping experience for hundreds of millions of shoppers worldwide. ![]() Personalization at Amazon is leading the charge on creating the best-in-class personalized shopping experience that leverages cutting edge AI, deep learning, and ML technologies.
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