About LisplogicsLisplogics is a Montreal-based company that builds real-time optimization systems for business operations. We use operations research to help organizations plan and manage their operations as they happen. Our systems run in production and are used daily by our clients.The roleWe are looking for a Machine Learning & Algorithms Engineer with a solid mathematical background. You will design the models and algorithms at the core of our systems: optimization, forecasting and decision models that run on live operational data. You will also work directly with clients, in French, to understand their problems and explain your approach.What you will doTranslate client operational problems into mathematical modelsDesign and implement optimization algorithms (linear and mixed-integer programming, heuristics, metaheuristics)Build machine learning models for forecasting and decision supportTest,



benchmark and improve models on real dataWork with our engineering team to deploy models in productionPresent results to clients and explain the reasoning behind themWhat we are looking forA degree in mathematics, statistics, operations research, physics, engineering or another quantitative field. A graduate degree is an asset.Deep quantitative skills: linear algebra, probability, statistics and optimizationHands‑on experience with machine learning, from model design to validationStrong programming skills in Python. C++ or Go is an asset.Ability to explain technical work clearly to non-technical clientsLives in the Montreal areaFluent in FrenchNice to haveExperience with solvers such as Gurobi, CPLEX or OR-ToolsExperience with real-time or large-scale dataBackground in transportation, logistics or operations managementCompensationAround $140,000 per year, depending on experience.Work arrangementThe position is remote to start. We may move to a hybrid model in early 2027, details to be confirmed.#J-18808-Ljbffr

📌 Machine Learning & Algorithms Engineer (Montreal)
🏢 Lisplogics
📍 Montreal