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Ai Math Jobs in Ontario (NOW HIRING)

Spaceium

AI Engineer

Ottawa, ON · On-site

CA$75K - CA$110K/yr

Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field * Strong programming skills in Python * Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)

Netomi

Staff Agentic AI Engineer

Toronto, ON · On-site

Bachelor's Degree or higher in a quantitative field (Statistics, Computer Science, Engineering, Mathematics) * 5-7+ years of experience in AI/ML engineering, applied machine learning, natural ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

University degree in computer science, engineering, data science, mathematics, or a related discipline. * 5+ years of professional experience in machine learning, data science, AI engineering, or a ...

KPMG

Manager, ML/AI Engineer, Data & AI

Toronto, ON · On-site

University degree in computer science, engineering, data science, mathematics, or a related discipline. * 5+ years of professional experience in machine learning, data science, AI engineering, or a ...

Vangard, Inc.

Senior AI Scientist

Toronto, ON

We are the AI Center of Excellence within the Chief Data and Analytics Office. We build ... Bachelor's degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative ...

Accenture

AI Architect, Manager

Toronto, ON · Remote

The AI Architect is responsible for designing and developing scalable AI solutions aligned to a ... D. in a quantitative field such as computer science, applied mathematics, statistics or machine ...

Future Secure AI

As an Applied Scientist, you will be a key contributor to the development and improvement of the AI ... Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field * Strong ...

Royal Bank of Canada

Lead AI/ML Scientist

Toronto, ON · On-site

PhD or Master's degree (or similar) in computer science, statistics, AI/machine learning, physics, mathematics, or another quantitative field * Experience driving AI innovation process independently ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON · On-site

... Mathematics). * Effective communication skills with the ability to prepare clear project ... of AI implementation in finance. * A rewarding career path with diverse opportunities for ...

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All JobsAi Math JobsAi Math Jobs in Ontario

Ai Math information

What is the difference between Ai Math vs Data Analyst?

AspectAi MathData Analyst
Required CredentialsMathematics, Computer Science, AI certificationsStatistics, Data Analysis, Business Intelligence certifications
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness settings, consulting firms, corporate departments
Industry UsageAI development, machine learning projects, researchData interpretation, reporting, decision support

Ai Math professionals focus on developing algorithms and models using advanced mathematics and AI techniques, often working in research or tech environments. Data Analysts interpret data to provide insights and support business decisions. While both roles require analytical skills, Ai Math emphasizes algorithm creation and AI research, whereas Data Analysts focus on data visualization and reporting.

What is an AI Math specialist?

An AI Math specialist is a professional who applies advanced mathematical concepts and techniques to develop, analyze, and improve artificial intelligence algorithms and models. Their work often involves linear algebra, calculus, probability, statistics, and optimization methods to design effective machine learning and deep learning systems. AI Math specialists collaborate with data scientists, engineers, and researchers to solve complex problems, ensure model accuracy, and enhance the performance of AI-driven solutions.

How does an AI Math specialist typically collaborate with data scientists and software engineers within a project team?

AI Math specialists play a crucial role in multidisciplinary teams by developing mathematical models and algorithms that underpin AI solutions. They frequently work alongside data scientists to refine statistical methods, validate results, and optimize data processing techniques. Collaboration with software engineers is also common, as AI Math specialists help translate theoretical models into efficient, scalable code for production environments. This teamwork ensures that AI systems are both mathematically sound and technically robust, fostering innovation and effective problem-solving.

What are the key skills and qualifications needed to thrive as an AI Math specialist?

To thrive as an AI Math Specialist, you need strong mathematical foundations in linear algebra, calculus, probability, and statistics, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with programming languages like Python, experience with machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with data analysis tools are essential. Critical thinking, problem-solving, and effective collaboration are important soft skills for tackling complex challenges and working in interdisciplinary teams. These skills enable the development, implementation, and optimization of robust AI models and solutions.
What are popular job titles related to Ai Math jobs in Ontario? For Ai Math jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Ai Math jobs in Ontario look for? The top searched job categories for Ai Math jobs in Ontario are:
Ai Math jobs near you
Infographic showing various Ai Math job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution.

AI Engineer

Spaceium

Ottawa, ON • On-site

CA$75K - CA$110K/yr

Full-time

Re-posted 26 days ago

Job description

At Spaceium, we are building spacecraft systems designed to push the boundaries of what's possible in orbit. As an AI Engineer, you will develop intelligent systems that enable autonomous decision-making, anomaly detection, and adaptive operations for our spacecraft. You will work at the intersection of machine learning and space systems, building AI capabilities that operate reliably in resource-constrained, high-stakes environments.

Responsibilities
  • Design and develop AI/ML models for spacecraft autonomy, anomaly detection, and predictive maintenance
  • Build data pipelines for training, evaluation, and deployment of models
  • Develop reinforcement learning or planning algorithms for autonomous on-orbit operations
  • Integrate AI systems with flight software and ground segment tools
  • Create simulation environments for training and validating AI models
  • Collaborate with software, systems, and operations engineers on AI-driven features
  • Research and prototype novel approaches to space-specific AI challenges
Basic Qualifications
  • Bachelor's degree in Computer Science, AI/ML, Mathematics, or a related field
  • Strong programming skills in Python
  • Experience with machine learning frameworks (PyTorch, TensorFlow, or similar)
  • Understanding of statistics and mathematical foundations of ML
  • Experience with version control systems such as Git
What We're Looking For

We're building technology that hasn't been done before. Experience is helpful, but curiosity, drive, and the ability to learn quickly matter more. If you're excited about spacecraft, enjoy solving hard engineering problems, and want to help build something new, we encourage you to apply - whether you're early in your career or more experienced.

Preferred Skills
  • Creative problem solver with strong first-principles thinking, capable of assessing risk and making decisions with limited data.
  • Experience in a nimble, technical engineering role, with a scrappy, entrepreneurial approach to meeting tight time or budget constraints.
  • Experience deploying ML models on edge devices or resource-constrained platforms
  • Familiarity with reinforcement learning, planning, or decision systems
  • Knowledge of computer vision or sensor fusion techniques
  • Experience with MLOps, model monitoring, and continuous training pipelines
  • Understanding of spacecraft operations or autonomous systems
  • Excellent verbal and written communication skills, collaborative team player, and detail-oriented with a focus on quality.
Additional Requirements
  • Extended hours and weekend work may be required to support critical project and mission milestones.
  • This role requires a physical presence at the Ottawa facility.
Compensation
  • Salary: $75,000 - $110,000 CAD per year
  • Equity: 0.1% -0.5%

If you're excited about shaping the future of space systems, we'd love to hear from you.

Please submit any projects that you have worked on. 

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