ML Researcher

At Wiremind, the Data Science team is responsible for the development, monitoring and evolution of all ML-powered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts: A modelling of the unconstrained demand using ML models (e.g.deep learning, boosted trees) trained on historical data in the form of time-series; Constrained optimizations problems solved using linear programming techniques. You will be joining a team shaped to have all profiles necessary to constitute an autonomous department (devops, software and data engineering, data science, AIML, operational research). There, under supervision of a Wiremind tutor and researchers from UBC, you will push the boundaries of state-of-the-art causal inference modeling for time series. As a research intern, you will have the opportunity to contribute to innovative projects at the intersection of deep learning and causal modeling.