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 systems
Develop algorithms, mathematical models, and machine learning systems
Own data and ML infrastructure from ingestion through monitoring
Build scalable pipelines and real-time processing systems




Move models from experimentation into production with engineers
Requirements: Two to seven-plus years solving complex problems
Programming experience in Rust, C++, Python, or Golang
Degree in computer science or another quantitative field
Background in linear algebra, probability, statistics, or optimisation
Understanding of distributed systems, scalability, and performance optimisation
Apply 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 (Quebec City)
🏢 Hunter Bond
📍 Quebec City