Distributed Systems/ML Engineer - Montreal - Up to $175,000 CAD + Benefits

Hunter Bond; Montreal; Hybrid; CAD 158,000 - 193,000; Full time

Job summary

Hunter Bond is partnering with a fintech startup in Montreal to hire a Distributed Systems / ML Engineer. You will design, build and own critical systems from ground up, tackling high-throughput, low-latency data processing and ML workloads.

The team is technically strong and growth-focused, offering ownership, autonomy and a fast-paced environment with hybrid work in Montreal. You will collaborate with data scientists and engineers to productionize models and scale infrastructure.

Qualifications

• 2–7+ years of experience solving complex distributed/ML problems.
• Proficient in Rust, C++, Python or Go.
• Degree in CS/Math/Engineering/Physics or quantitative field.
• Strong math and ML background with distributed systems knowledge.

Responsibilities

• Design, build and scale highly distributed systems processing large data with low latency.
• Develop ML algorithms and models to solve data-intensive problems.
• Own data and ML infrastructure from ingestion to deployment and monitoring.
• Build scalable data pipelines and real-time processing systems.
• Test, benchmark and optimise models using real-world data.
• Collaborate with engineers and data scientists to productionize models.
• Take end-to-end ownership from design to implementation and optimisation.

Skills

Rust

C++

Python

Golang

Education

Bachelor's degree in CS/Math/Engineering/Physics

Job description

The Role:

Distributed Systems / ML Engineer

The Client:

Elite Rapidly Scaling Quantitative Trading Start-Up

Compensation:

Up to $175,000 CAD + Equity + Bonuses

Location:

Montreal (Hybrid)

The Opportunity

We're working with a seriously exciting fintech startup building technology at the intersection of finance, data and machine learning.

You'll be designing, building and owning critical systems from the ground up, tackling complex distributed computing and algorithmic challenges. The team is small, highly technical and incredibly ambitious, with a culture built around ownership, autonomy and fast-paced decision making.

What You'll Be Doing

• Design, build and scale highly distributed systems processing enormous volumes of data with high throughput, low latency and exceptional reliability.
• Develop sophisticated algorithms, mathematical models and ML systems to solve complex, data-intensive problems.
• Own critical data and ML infrastructure, from ingestion and processing through to deployment and monitoring.
• Build scalable data pipelines and real-time processing systems.
• Test, benchmark and optimise models and algorithms using real-world data.
• Work closely with engineers and data scientists to take models from experimentation into production.
• Take genuine end-to-end ownership, from technical design through to implementation and optimisation.

Who You Are:

• Strong Computer Scientist with a proven track record (2–7+ years) solving complex problems.
• Strong programming experience in Rust, C++, Python or Golang.
• Degree in Computer Science, Mathematics, Engineering, Physics or another quantitative field.
• Strong mathematical and computational background, including linear algebra, probability, statistics or optimisation.
• Experience with algorithms, machine learning or mathematical modelling.
• Deep understanding of distributed systems, system design, scalability and performance optimisation.
• Experience working with large-scale data or computationally intensive systems.
• Personality! Proactive, intellectually curious and someone who thrives in a high-ownership, fast-paced environment.

Nice to Have:

• Experience with MLOps, ML infrastructure or production model deployment.
• Exposure to distributed computing, streaming or data processing frameworks.
• Experience with optimisation algorithms or statistical modelling.