Want to help invent next generation technologies in optimization and recommender systems? Would you like a unique opportunity to directly impact millions of customers every day, and drive billions of dollars of impact? We’ve got the perfect job for you. Amazon’s ISS Science team is looking for a seasoned Applied Science Manager to help build a production scaled personalized recommendation service that identifies growth levers at every step of a seller’s journey at Amazon and ultimately leads to seller prosperity on Amazon. Owning one of the largest scale machine learning projects in the company, you will lead the team that builds automated systems to optimize success levers for sellers on Amazon’s selling partner portal. You will help push the boundaries of applied science in areas such as deep reinforcement learning, multi-armed bandits, natural language understanding, and counterfactual learning while building scalable industrial systems that can process billions of requests per day.
· MS or PhD in Machine Learning, Computer Science, Statistics, Applied Math or related field · 3+ years of managing applied science teams · Demonstrated use of modeling and optimization techniques tailored to meet business needs · Highly motivated self-starter with bias for innovative thinking · Excellent written and oral communication skills · Excellent business judgement· Experience building highly scalable, complex real-time recommender/optimization systems. · Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding