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Ai Software Engineer Intern Jobs in Ontario (NOW HIRING)

Talentlab

AI Software Engineer (C++)

Toronto, ON · On-site

Machine Learning / AI Software Engineer Location: Toronto, ON Job Type: Full-Time Industry: Technology / AI / Semiconductor About the Role Our client is a global technology leader developing next ...

SS&C

AI Software Engineer

Mississauga, ON · Hybrid

AI Software Engineer Location(s): Toronto - 30 Adelaide Street Location Status: Full - Time Get To Know Us: SS&C is leading the way. We continue to look for today's and tomorrow's brightest talent ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Experience working with APIs, Git, databases, and standard software engineering practices.

Palona AI

AI Software Engineer, Product

Toronto, ON · On-site

We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing experiences ...

Palona AI

AI Software Engineer, Product

Toronto, ON · On-site

We are looking for a product-focused AI Software Engineer to turn advances in AI into restaurant products that work reliably in the real world. You will build across customer-facing experiences ...

fgf brands

Senior AI Software Engineer We're a naan traditional company... We are seeking a Senior AI software Engineer to serve as a key technical driver within our data science team. In this role, you will be ...

Perseus Group

Software Developer Intern

Markham, ON

CA$22.50 - CA$27.50/hr

The Software Developer Intern works in a Scrum team to build high-performing, resilient, and ... Work with the team to build a new product module end-to-end using AI-assisted development tools ...

Palona AI

AI Software Engineer, Growth

Toronto, ON · On-site

We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine optimization, paid ...

Palona AI

AI Software Engineer, Growth

Toronto, ON · On-site

We are looking for an AI Full-Stack Engineer who treats growth as an engineering and product discipline. You will own web experiences, experimentation, SEO and generative-engine optimization, paid ...

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All JobsAi Software Engineer Intern JobsAi Software Engineer Intern Jobs in Ontario

Ai Software Engineer Intern information

What does an AI software engineer intern do?

An AI Software Engineer Intern assists in designing, developing, and testing artificial intelligence models and applications under the guidance of experienced engineers. Their responsibilities may include data preprocessing, implementing machine learning algorithms, coding in languages like Python, and collaborating with team members on AI projects. Interns also help optimize existing AI systems, conduct research, and document their work. The role provides practical experience and exposure to real-world problems in AI and software engineering.

What types of projects can an AI software engineer intern expect to work on during their internship?

As an AI Software Engineer Intern, you will likely contribute to real-world projects such as developing machine learning models, preprocessing data, or supporting the integration of AI solutions into existing products. Interns often collaborate with senior engineers and data scientists, participating in code reviews and brainstorming sessions. You may also be involved in evaluating model performance, optimizing algorithms, or automating tasks using AI tools, giving you hands-on experience with both the technical and collaborative aspects of the role.

What are the key skills and qualifications needed to thrive as an AI software engineer intern, and why are they important?

To thrive as an AI Software Engineer Intern, you typically need a solid background in computer science fundamentals, programming (especially Python), and foundational knowledge of machine learning concepts, often supported by progress toward a relevant degree. Familiarity with frameworks such as TensorFlow or PyTorch, version control systems like Git, and experience with data analysis tools are highly beneficial. Strong problem-solving abilities, curiosity, and effective communication set outstanding interns apart in collaborative and fast-paced environments. These skills and qualities are crucial for contributing meaningfully to AI projects and adapting to new technologies and challenges.

What are the most commonly searched types of Ai Software Engineer jobs in Ontario?

The most popular types of Ai Software Engineer jobs in Ontario are:

What are popular job titles related to Ai Software Engineer Intern jobs in Ontario?

For Ai Software Engineer Intern jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Ai Software Engineer Intern jobs in Ontario look for?

The top searched job categories for Ai Software Engineer Intern jobs in Ontario are:

Ai Software Engineer Intern jobs near you
Infographic showing various Ai Software Engineer Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

AI Software Engineer (C++)

Talentlab

Toronto, ON • On-site

Full-time

Posted 9 days ago

Job description

Machine Learning / AI Software Engineer

Location: Toronto, ON
Job Type: Full-Time
Industry: Technology / AI / Semiconductor

About the Role

Our client is a global technology leader developing next-generation AI and machine learning solutions for mobile, automotive, IoT, and edge computing applications.

We are looking for a Machine Learning / AI Software Engineer to join a highly technical team focused on building high-performance, on-device AI software. In this role, you’ll work across the AI software stack, developing and optimizing software that enables neural networks to run efficiently on specialized hardware.

This is an opportunity to work on cutting-edge AI technology, collaborating closely with software, hardware, architecture, and customer teams to deliver production-quality solutions.

What You’ll Do
  • Develop and optimize software for AI and machine learning workloads running on specialized hardware.
  • Design and implement optimization algorithms for ML operators and neural network layers.
  • Enhance AI software frameworks to improve performance and resource utilization.
  • Develop profiling, debugging, and developer tools to accelerate deployment of new neural network models.
  • Evaluate and optimize neural network runtime performance, efficiency, and accuracy.
  • Enable new AI models and software features based on customer requirements and use cases.
  • Work closely with hardware and architecture teams to improve overall AI performance and capabilities.
  • Collaborate with cross-functional engineering teams to deliver cohesive, production-ready solutions.
  • Contribute to software quality, development processes, and commercial product releases.
  • Help drive technical ideas from concept through implementation and deployment.
What You’ll Bring
  • 5+ years of professional software engineering experience, ideally in AI/ML, embedded systems, or performance optimization.
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline; Master's or PhD is an asset.
  • Strong C++ programming skills and experience developing production software.
  • Strong analytical, problem-solving, debugging, and software development skills.
  • Experience with Python and NumPy.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch.
  • Experience developing software for Android or embedded Linux is an asset.
  • Experience optimizing algorithms for hardware acceleration, using technologies such as OpenCL, OpenGL ES, DSPs, or similar architectures.
  • Strong understanding of mathematical and computational concepts including:
    • Linear algebra
    • Fast math libraries
    • Multithreading
    • Vectorization and SIMD instruction sets
  • Ability to work effectively across large, globally distributed engineering teams.
  • Strong written and verbal communication skills.
  • Curiosity, adaptability, and a willingness to learn and tackle complex technical problems.
Why This Role?

You’ll have the opportunity to work on high-performance AI software at the edge, solving challenging problems at the intersection of machine learning, software, and hardware. Your work will directly contribute to the deployment of advanced AI capabilities across next-generation connected devices and platforms.