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Ai Math Jobs in Ontario (NOW HIRING)

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 ...

A Doctorate in Data Science, Mathematics, Statistics, Computer Science or a related discipline * Experience from within AI sector, ideally agentic AI * Strong experience with NLP techniques: LSTMs ...

Bachelor's (Master's or PhD preferred) degree in engineering, computer science, physics, math or equivalent Other Qualifications: * Stay up to date with advancements in AI, LLMs, RAG, autonomous ...

With AI adoption gaining speed across our organization, we want to harness the power of AI to be ... Mathematics, Engineering, Economics, or Data Analytics who loves both the technical side of ...

With AI adoption gaining speed across our organization, we want to harness the power of AI to be ... Mathematics, Engineering, Economics, or Data Analytics who loves both the technical side of ...

AI & Automation Associate Introducing a new role to join our AI, automation, and business ... Mathematics, Engineering, Economics, or Data Analytics who loves both the technical side of ...

The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning ... Graduate in science, mathematics, statistics or engineering What's in it for you? We thrive on the ...

The Senior AI Engineer will work on the development and deployment of cutting-edge machine learning ... Graduate in science, mathematics, statistics or engineering What's in it for you? We thrive on the ...

You have a degree in a quantitative field (i.e. mathematics, statistics, computer science ... AI), Data Analysis, Data Analytics, Emerging Technologies, Equity Markets, Machine Learning (ML ...

You have a degree in a quantitative field (i.e. mathematics, statistics, computer science ... AI), Data Analysis, Data Analytics, Emerging Technologies, Equity Markets, Machine Learning (ML ...

Showing results 21-40

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:
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.

Software Engineer II - Toronto

INSTALILY.AI

Toronto, ON

CA$90K - CA$110K/yr

Full-time

Retirement, PTO

Posted 27 days ago


Job description

Responsibilities
  • Develop InstaLILY's AI platform and drive technical excellence throughout the organization
  • Work closely with cross-functional teams (product, UI/UX, business development, growth) and key business stakeholders to design and implement new features and capabilities
  • Lead technical discovery with enterprise customers and partner with the Growth team; translate complex real-world workflows into a shipped product
  • Raise quality and reliability through comprehensive testing and CI/CD practices
  • Build a rapport with the Lead Software Engineer and Head of Product while fostering a culture of continuous learning and improvement
  • Collaborate with the product and design teams to deliver high-quality products that meet customer needs
  • Stay up-to-date with the latest AI and software engineering trends and technologies
  • Mentor junior engineers: pair on hard problems, review code thoughtfully, and help them level up
Requirements
  • Bachelor's in CS, engineering, math, physics, or related: demonstrated ability matters more than credential
  • 1-3 years as a software engineer (strong candidates have shipped something with real users)
  • Strong fluency in at least one backend language (Python, TypeScript, or similar) and a modern web stack
  • Solid grasp of system design fundamentals (e.g., API design, data modeling, async patterns, caching, and queues)
  • Entrepreneurial ownership: you've started or built something on your own initiative - a project, a product, a team - and can walk us through it
  • Strong communication: you can explain what you built and why you built it that way to non-technical audiences
  • Strong problem-solving and analytical thinking
  • In-office availability: 5 days/week in our Toronto office for your first 6 months, then 4 days/week in person with 1 day remote
Nice to Have
  • Production experience with cloud infrastructure (AWS, GCP, or Azure) and CI/CD pipelines
  • AI-serious: you've built something with LLMs (a RAG system, an agent, a fine-tuned model, a real integration)
What You'll Get
  • Proven product: Customers are live; this isn't a bet on an unproven thesis
  • AI-native: In how we build, how we work, and what we sell
  • Stage: Early enough to shape how the company scales
  • Global: Based in New York with offices in SF, London, and Toronto
  • Culture: Sharp, low-ego team that keeps raising the bar
  • Growth: The learning curve is steep
Compensation and Benefits
  • Salary Range: $90,000 - $110,000 CAD per year, commensurate with experience
  • Equity: Generous stock options awards, and refreshers for top performers
  • Benefits: Supplemental benefits, pension contribution, in-office Lunch reimbursement, Wellbeing Stipend, Generous Parental leave, PTO and Ontario National Holidays, and more!