The Reinforcement Learning (RL) engineering team in Microsoft Research is hiring. We're looking a Machine Learning Engineer to join our team in either Redmond or New York City. We're developing a leading edge Reinforcement Learning system to solve real-world interactive problems working with world renowned Machine Learning researchers at MSR NYC . We are creating a new paradigm for machine learning focused on directly addressing real-world decision making. Our efforts span core learning theory, algorithms, systems, economics, and practical production deployments which have proved dramatically effective---they affect millions of people daily. The first real-world service we built on our RL system was the Decision Service . The Decision Service is a machine learning system for making context-based decisions. The system supports a full cycle of exploration, logging, training, and deployment in production. Built as a cloud service in Azure, the system is widely applicable, modular, and easy
A couple of your responsibilites as an ML Engineer on our team would be: Prototype extensions to the Real World RL platform Collaborate with customers internally and externally to ensure they can use our RL capabilities effectively Collaborate closely with our data science team to improve the ROI for our pilot engagements
Required qualifications for this position are: An advanced degree (Master, PhD) in Computer Science or equivalent field 2+ years of software engineering experience or related technical experience (i.e. data science, applied science, etc.) E xperience in applying, implementing, and/or developing algorithms for machine learning, systems, statistics or another area 2+ years developing in C# and/or C++