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Applied Mathematics Computer Science Jobs in Montreal, QC

... Mathematics, Engineering, Computer Science, Finance, Actuarial Science). * 7 years of relevant experience in advanced analytics, data science, or applied AI/ML in domains such as financial services ...

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large ...

Required Qualifications · PhD or MS in Computer Science, Machine Learning, Applied Mathematics, Physics, or a related field, with substantial applied experience. · 5+ years building and delivering ...

The position We're looking for an Applied AI Engineer to take our growing collection of foundation ... Computer Science, Engineering, or a related field, or equivalent hands-on experience * 4+ years ...

The position We're looking for an Applied AI Engineer to take our growing collection of foundation ... Computer Science, Engineering, or a related field, or equivalent hands-on experience * 4+ years ...

... Applied AI/ML Developer Position overview As a Senior ML Developer on the team, you will be ... Math/ or PhD in Computer Science, Statistics, Mathematics, Physics, Developer, Economics ...

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations ... applied machine learning * Proven experience leading ambiguous, high-impact data science ...

... mathematics, science, engineering, operations research, economics, statistics, AI, computer science ... At least 5 years of experience in data science, machine learning, and advanced statistics applied ...

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Applied Mathematics Computer Science information

What is the difference between Applied Mathematics Computer Science vs Data Analyst?

AspectApplied Mathematics Computer ScienceData Analyst
Required CredentialsBachelor's or higher in applied math, computer science, or related fieldsBachelor's degree in statistics, mathematics, or related fields
Work EnvironmentResearch labs, tech companies, academiaBusiness, finance, healthcare, and marketing sectors
Employer & Industry UsageTech firms, research institutions, universitiesCorporations, consulting firms, government agencies
Common Search & ComparisonApplied Mathematics Computer Science vs Data Analyst

Applied Mathematics Computer Science focuses on developing algorithms, modeling, and computational techniques, often requiring programming and mathematical skills. Data Analysts interpret data to provide insights, primarily using statistical tools. While both roles involve data and programming, Applied Mathematics Computer Science emphasizes algorithm development and complex modeling, whereas Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Applied Mathematics Computer Science jobs in Montreal, QC? For Applied Mathematics Computer Science jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Applied Mathematics Computer Science jobs in Montreal, QC look for? The top searched job categories for Applied Mathematics Computer Science jobs in Montreal, QC are:
Infographic showing various Applied Mathematics Computer Science job openings in Montreal, QC as of July 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior ML Developer (Applied Research)

LawZero

Montreal, QC • On-site

Other

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

We are seeking a Senior Machine Learning (ML) Developer (applied research) to join our team working on the Scientist AI. In this role, you will work closely with ML research scientists and product stakeholders to start applying the Scientist AI to real-world problems.

Key responsibilities

  • Accelerate applied research, model training and inference, and iterate on implementing models for real-world applications (that will form the basis of LawZero's future solutions offerings).
  • Design and implement workflows for research experiments across simulated environments and real-world applications.
  • Develop datasets, tooling, dashboards, and libraries to adapt, monitor, interpret, and evaluate models in the context of real-world applications.
  • Establish, document, and maintain best practices for ML model development workflows.
  • Redesign and adapt research ideas and prototypes into robust production-grade tools and solutions.
  • Deeply understand customer use-cases to inform training strategies and surface edge cases.

Skills and qualifications

  • A degree in a relevant computer science field (e.g., computer science, computer engineering, software engineering) is required, along with an advanced degree (MSc or higher) in machine learning or equivalent work experience.
  • Minimum of 3+ years of industry experience in designing and implementing complex machine learning workflows on high performance computing devices using PyTorch, TensorFlow, or JAX (7 years minimum after the Master degree).
  • Ability to collaborate effectively with cross-functional teams, document best practices, and stay updated with the latest advancements in ML and software development.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) and workload managers (e.g., Ray, SLURM)
  • Familiarity with containerization tools (e.g., gRPC, Docker, Kubernetes).
  • Familiarity with data infrastructures and platforms (e.g., vector databases).
  • Experience building new ML products from scratch, or based on research prototypes.
  • Experience working alongside researchers is a bonus.

What we offer

  • The opportunity to contribute to a unique mission with a major impact.
  • Comprehensive health benefits.
  • A minimum of 20 days vacation per year upon start.
  • A minimum retirement savings employer contribution of 4%.
  • Generous flexible benefits designed to contribute to your well-being.
  • A team of passionate experts in their field.
  • A collaborative and inclusive work environment with offices in the heart of Little Italy, in the trendy Mile-Ex district, close to public transportation.