Applied Science Manager, Selling Partner Support Engagement Science
At Amazon, we strive every day to be Earth’s most customer centric company. Selling Partner Support Engagement (SPSE) Science delivers on this by building AI-enhanced experiences and automation that help to provide world class support to our global network of selling partners. We building at the cutting edge of Gen AI applications, working to tackle the many challenges that we confront caused by the volume, diversity, and complexity of our selling partner's needs… and we are always striving to do better.Do you want to join an innovative team who creatively applies techniques ranging from statistics and traditional machine learning to deep learning, natural language processing, and generative models? A team that drives our flywheel of improvement by hunting down opportunities to do better that are buried in tens of millions of solved cases? Are you interested in helping us redefine what world class support can be in an age of automation and AI, while prizing human empathy and ingenuity?The SPSE Science Team is looking for an Applied Scientist to build statistical and machine learning solutions that help us understand and solve our most challenging problems. We need to better understand our Sellers and the problems they face, to augment our human workforce with smarter tools, to anticipate problems so that we are prepared to deal with them, to automatically diagnose and resolve issues, and to identify opportunities to grow and improve.In this role, you will lead a team of scientists who have ownership of the end-to-end development of solutions to complex problems and you will play an integral role in strategic decision-making. You will also work closely with engineers, operations teams, product owners to build ML pipelines, platforms and solutions that solve problems of defect detection, automation, and workforce optimization.Key job responsibilitiesLead a team of Applied Scientists who specialize in NLP and GenAI systems.Develop the talent of the scientists on the team.Work closely with business partners and teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.Help design, develop and deploy highly innovative ML systems to interact with Sellers and delight them with solutions.Help establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.Implement industry best practices for ML Operational Excellence.Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.Build with state-of-the-art machine learning techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.About the teamSelling Partner Support Engagement (SPSE) Science is a team of scientists engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Operational Research, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. Focused on collaboration, innovation and strategic impact, we work closely with other science and technology teams, product and operations organizations, and with senior leadership, to transform the Selling Partner experience.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics ...