Design distributed systems and machine learning infrastructure in Montreal’s hybrid fintech startup setting, using Rust, C++, Python, or Golang.
This Distributed Systems / ML Engineer role suits a strong Computer Scientist with 2–7+ years solving complex problems. You will develop algorithms, mathematical models, and ML systems for data-intensive challenges. The work spans system design, scalability, performance optimisation, and large-scale data.

Key Responsibilities

Design and scale high-throughput, low-latency distributed systemsDevelop algorithms, mathematical models,



and machine learning systemsOwn data and ML infrastructure from ingestion through monitoringBuild scalable pipelines and real-time processing systemsMove models from experimentation into production with engineersRequirements:
Two to seven-plus years solving complex problemsProgramming experience in Rust, C++, Python, or GolangDegree in computer science or another quantitative fieldBackground in linear algebra, probability, statistics, or optimisationUnderstanding of distributed systems, scalability, and performance optimisationApply distributed computing, machine learning, and mathematical modelling skills across critical systems in Montreal’s hybrid fintech environment.
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📌 Distributed Systems Machine Learning Engineer (Winnipeg)
🏢 Hunter Bond
📍 Winnipeg