Machine Learning Engineer Do you want to be at the core of a fast-pacing company that develops the next generation of flood intelligence technology? REOR20 offers an opportunity to be a key member of an exciting team that aims to help global communities and insurers to control flood risk in the face of climate change. About REOR20 Natural disasters pose a threat of growing importance rendering risk understanding a key factor for enhancing resilience. At REOR20, we develop the next generation technology capable to deliver timely, at the highest possible accuracy flood hazard intelligence. REOR20’s technology combines high-fidelity computational engineering tools with innovative AI methodologies and constitutes a revolutionary paradigm change. We are now hiring our core engineering team to build the first commercial-scale version of our product and deploy it to our early users. As a member of this core team, you will be involved in multiple tasks and undertake diverse responsibilities (research and development, testing, data mining etc.). REOR20’s culture is open, flexible and inclusive. We strive for excellence, we are self-driven, we are comfortable working in a fast-paced environment, and we embrace the diverse problems presented in every façade of the company’s function. We promise you excitement, fun and a fulfilling cause – advancing natural disaster resilience globally. The Position REOR20 is looking for a skilled and motivated deep learning scientist/engineer who would be responsible for research and development on machine learning and physics-based approaches. The output of your work is going to be central in REOR20’s technology. Key Responsibilities ● Co-develop and maintain our core AI framework for disaster analysis ● Design architectures relevant to several analytics modules under development ● Optimize training procedures by employing novel algorithms or by efficient hardware utilization ● Maintain an awareness of the latest deep learning methods and be able to pair the correct methods to the problems we are solving You should apply if you have ● Academic or proven experience in computer science / engineering ● Experience applying and developing deep learning methodologies ● Proficiency in python and common python-based machine learning libraries like pytorch ● Ability to quickly prototype ideas, perform critical analysis, and use creative approaches for solving complex problems ● Strong motivation and a desire to work in an energetic and fast-paced environment ● Passion about digging into complex problems and devising new approaches to reach results Desired ● Knowledge or experience on spatiotemporal modeling ● Experience on large-scale parallel training Interested? Please sent your application at [email protected] by end of February 2022.