Applied Science Manager
Amazon Development Centre Scotland is looking for an applied science manager to provide scientific leadership on exciting new Amazon products. The ideal candidate will have experience managing teams that deliver across core machine learning or related disciplines like natural language processing, speech processing, computer vision, online advertising, recommender systems or forecasting. Youâ€™ll have proven leadership and mentoring skills, strong individual technical ability, and a track record of leading teams that innovate and break new ground on ambiguous high-impact problems.In this role you will lead a team that designs, prototypes, and builds, delivers and operates live systems for one of Amazonâ€™s businesses worldwide. You will have a track record building and managing teams that deliver on low success projects that require significant innovation. You will apply analysis and scientific rigor to build systems that surprise and delight our customers, using data to determine areas of highest impact, bring the latest scientific thinking from inside and outside Amazon to bear on the problem. Your team will develop fundamental new approaches, launch them to employees and disseminate your findings throughout Amazon and the wider research community. You will form a pillar between best-of-breed research thinking and real products and systems, with an opportunity to innovate and iterate at pace and scale.The ideal candidate will have proven experience leading a team that uses cutting-edge machine learning for real-world problems that deliver meaningful business impact. Strong computer science and algorithmic skills, exposure to internet-scale businesses, working in cross-functional teams, and a track record of peer-reviewed publication in a relevant area are desirable.In return, we offer a relaxed and fun social environment, strong career growth opportunities, and the ability to have deep and broad impact across Amazon. Youâ€™ll work with the latest technologies including the range of AWS products and Deep Learning frameworks, have access to large-scale datasets and computing resource, and work with a smart and energized cross-functional team across the world.Basic qualificationsÂ· Significant experience in machine learning, statistics, natural language processing or a closely related discipline.Â· A postgraduate degree in Machine Learning, Computer Science, Statistics, Data Science or related field.Â· Experience applying statistical techniques to solve real business problems.Â· Experience line managing and providing thought leadership on complex high ambiguity problems.Â· Excellent analytical and critical thinking skills, combined with the ability to present your ideas clearly and compellingly in both verbal and written English form.Preferred qualification Â· Strong computer science grounding in a broad range of algorithms and data-structures.Â· Experience with agile methodologies and working with or leading development teams.Â· Experience with modern machine learning: deep learning, online/reinforcement learning, semi-supervised and transfer learning, etc.Â· Track record of publication in top tier conferences or journals.