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Machine Learning Phd Research Jobs in Toronto, ON

Waabi

Research Scientist, Simulation Agents

Toronto, ON · On-site +1

CA$158K - CA$269K/yr

As a Research Scientist on the Behaviors team, you will work closely with our multidisciplinary ... Masters/PhD in machine learning, computer science, engineering, or a related field. * Strong ...

HeyGen

Research Engineer

Toronto, ON · On-site

A Master's or PhD in Computer Science, Engineering, or a related field * 1-3 years of ... experience in machine learning and computer vision, demonstrating practical application of ...

THOMSON REUTERS

Research Engineer

Toronto, ON · Hybrid

We are seeking a Research Engineer who willbringexpertiseinAI and ML andisinterestedinbuilding data ... Ability to understand, apply,integrateand deploy Machine Learning capabilities and techniques into ...

Boson AI

Machine Learning Engineer - Enterprise

Toronto, ON · On-site

CA$150K - CA$400K/yr

Driven by a passion for cutting-edge AI research, particularly in the transformative areas of large ... We are seeking a skilled, detail-oriented, and passionate Machine Learning Engineer to join our ...

CIBC US

Applied AI Research Scientist

Toronto, ON · Hybrid

We collaborate with the leading academic institutes in the space of AI and machine learning to ... You have a PhD in deep learning , or other related disciplines, and 3+ years in related research ...

CIBC

Applied AI Research Scientist

Toronto, ON · Hybrid

We collaborate with the leading academic institutes in the space of AI and machine learning to ... You have a PhD in deep learning , or other related disciplines, and 3+ years in related research ...

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Machine Learning Phd Research information

Infographic showing various Machine Learning Phd Research job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Sr. Machine Learning Software Verification Engineer

Toronto, ON • On-site

Talentlab
See more jobs at Talentlabexternal

Full-time

Re-posted yesterday

Job description

AI Software Test / Validation 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 on-device applications across mobile, automotive, IoT, and computing platforms.

We are looking for an AI Software Test / Validation Engineer to join a team focused on validating high-performance AI software and machine learning solutions. This role will involve developing test strategies, automation frameworks, and test cases to ensure the quality, reliability, and performance of AI software running on next-generation computing platforms.

This is a software testing and validation role, not a data science position.

What You’ll Do
  • Validate AI and machine learning software SDK features on computing platforms.
  • Develop and execute test cases to verify AI software functionality, performance, and reliability.
  • Test applications and developer tools supporting the AI software stack.
  • Develop, maintain, and improve automated software test frameworks.
  • Analyze customer use cases and translate requirements into effective test scenarios.
  • Work closely with software development teams to identify, reproduce, and resolve issues.
  • Support regression testing, triage failures, analyze defects, and track issues through resolution.
  • Contribute to continuous integration and automated testing processes.
  • Help improve overall software quality, test coverage, and validation processes.
What You’ll Bring
  • 2+ years of professional experience in software development, software testing, or validation.
  • Bachelor's degree in Computer Science, Engineering, or a related discipline; Master's or PhD is an asset.
  • 1+ year of experience with Python and scripting languages.
  • 1+ year of experience with C++.
  • Experience with Jenkins or other CI/CD tools.
  • Strong software debugging and problem-solving skills.
  • Experience with Git or other version control systems.
  • Experience working in Linux and Windows development environments.
  • Strong communication skills and the ability to collaborate effectively within a multidisciplinary engineering team.
Nice to Have
  • Experience with embedded systems development or testing.
  • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or ONNX.
  • Knowledge of modern Generative AI / GenAI models.
  • Experience developing automated test frameworks for software or embedded platforms.
  • Familiarity with AI/ML software stacks and hardware-accelerated computing.
Why This Role?

This is an opportunity to work at the intersection of AI, software engineering, and automated testing, helping bring next-generation on-device AI technologies from development into production. You’ll work alongside experienced software and AI engineers while contributing directly to the quality and reliability of cutting-edge AI platforms.