Sr. Machine Learning Software Verification Engineer

Talentlab; Toronto; In loco; CAD 110.000 - 150.000; Tempo pieno

Descrizione del lavoro

Talentlab is seeking a Sr. Machine Learning Software Verification Engineer to join our AI software testing team in Toronto.

You will validate AI and ML SDK features on computing platforms, develop test strategies, automate tests, and collaborate with software engineers to ensure quality and performance of on-device AI software. The role emphasizes building robust test frameworks, running regression tests, and contributing to CI/CD pipelines.

Competenze

• 2+ years of professional experience in software development, software testing, or validation.
• 1+ year of experience with Python and scripting languages.
• 1+ year of experience with C++.
• Experience with Jenkins or other CI/CD tools.
• Strong debugging and problem-solving skills.
• Experience with Git or other version control systems.

Mansioni

• 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.

Conoscenze

Strong communication

Team collaboration

Problem-solving

Formazione

Bachelor's degree in Computer Science or Engineering

Master's or PhD is an asset

Strumenti

Python

C++

Jenkins / CI CD tools

Git

Linux & Windows development environments

Descrizione del lavoro

Sr. Machine Learning Software Verification Engineer

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 anAI Software Test / Validation Engineerto 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 insoftware 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 withPython and scripting languages.
• 1+ year of experience withC++.
• Experience withJenkins or other CI/CD tools.
• Strong software debugging and problem-solving skills.
• Experience withGit or other version control systems.
• Experience working inLinux and Windowsdevelopment environments.
• Strong communication skills and the ability to collaborate effectively within a multidisciplinary engineering team.

Nice to Have

• Experience withembedded systems development or testing.
• Familiarity with machine learning frameworks such asTensorFlow, PyTorch, or ONNX.
• Knowledge of modernGenerative 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 ofAI, 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.