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Ai Math Jobs in Toronto, ON (NOW HIRING)

Author original math questions that test deep conceptual understanding in Signal Processing ... AI interview based on your resume * Submit form Resources & Support * For details about the ...

New

Machine Learning / AI Software Engineer Location: Toronto, ON Job Type: Full-Time Industry ... Fast math libraries * Multithreading * Vectorization and SIMD instruction sets * Ability to work ...

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 ...

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 ...

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 ...

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 ...

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 ...

Post-secondary education in Computer Science, Math, or Engineering (or equivalent experience). * Experience designing AI-enabled workflows (chatbots, search, summarization, automation). * Knowledge ...

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

Software Engineer II - Toronto

Toronto, ON ยท On-site

CA$90K - CA$110K/yr

  • Retirement

  • PTO

Develop InstaLILY's AI platform and drive technical excellence throughout the organization * Work ... Bachelor's in CS, engineering, math, physics, or related: demonstrated ability matters more than ...

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Ai Math information

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.

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.

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 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 job categories do people searching Ai Math jobs in Toronto, ON look for?

The top searched job categories for Ai Math jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Ai Math jobs?

Cities near Toronto, ON with the most Ai Math job openings:

Infographic showing various Ai Math job openings in Toronto, ON as of August 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Mathematics PhD - Benchmark Specialist

Mercor

Toronto, ON โ€ข Remote

CA$61 - CA$77/hr

Full-time

Posted 3 days ago

New


Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Applied Mathematics Benchmark Specialist
Type: Contract
Compensation: $61–$77/hour
Location: Remote
Commitment: 10+ hours/week

Role Responsibilities

  • Author original math questions that test deep conceptual understanding in Signal Processing, Financial Mathematics, and other domains.
  • Ensure questions are unambiguous, self-contained, and precisely defined with all necessary information.
  • Rate each question's difficulty as Medium, Hard, or Expert, providing 1 correct answer and 9 plausible alternatives.
  • Write step-by-step Chain-of-Thought solutions with clear, concise intermediate steps in markdown format.
  • Supply 1–5 academic references per question from reputable sources like peer-reviewed journals.
  • For verification tasks, flag issues with clarity, completeness, precision, or solvability and justify any edits made.

Qualifications

Must-Have

  • PhD or doctoral candidate in Mathematics, Applied Mathematics, Statistics, or a closely related field.
  • Master's degree considered for candidates with exceptional depth in a specific subdomain.
  • Strong command of graduate-level mathematical concepts and formal proof writing.
  • Excellent written English and ability to express complex ideas clearly and concisely.

Preferred

  • Experience with rigorous academic problem design or mathematical competition writing is a strong plus.

Application Process (Takes 20–30 mins to complete)

  • Upload resume
  • AI interview based on your resume
  • Submit form

Resources & Support

  • For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
  • For any help or support, reach out to: support@mercor.com

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.