IT & data jobs in Canada (5,164 jobs)

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Nov 7, 2026

Hiring at a glance

View jobs

Open jobs: 5,164
Employers: 2,146

Advertised starting pay

Average starting payCAD / year: $97,979Across 513 listings
Average starting payCAD / hour: $51.05Across 368 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 4%204 listings
Hybrid: 39%1,992 listings
On-site: 57%2,953 listings

Not specified: <1% (15 listings)

Employers hiring include TD (93), S M Software Solutions Inc (70), J&M Group (50).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Apple

Machine Learning Engineer, Evaluation and Quality, Creativity Apps

Vancouver, BC, Canada

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Applications open in a new tab.

Job details

Experience: 5+ years of industry experience in machine learning or software engineering, with a focus on ML/AI model evaluation and quality.
Posting language: English
Posted: Nov 6, 2026

Original job description

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Creativity Apps team is looking for a Machine Learning Engineer focused on the quality and evaluation of ML models and AI features in our creativity applications. You will define how we measure whether the product and AI features are good enough to ship: designing the evaluation strategy and metrics, building the datasets and infrastructure behind them, and driving end-to-end quality from model development through to the feature in customers' hands. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of creators every day.

Description

In this role, you will own the evaluation and quality of AI features across Creativity Apps. You will work closely with Machine Learning engineering, infrastructure, product, and design teams to understand each model and use case, and translate them into evaluation methodology, testing strategy, and quality metrics that reflect what creators actually experience. You will: * Define evaluation strategy and metrics for ML models, LLMs, and AI features, tailored to the model, the product, and its use cases. * Curate and create evaluation datasets, measure and improve dataset quality, and run iterative improvement loops so that datasets stay representative of each product. * Design, build, maintain, and optimize evaluation infrastructure at scale, with reproducible runs, tracked baselines, and comparisons between model versions. * Apply ML, LLMs, and agentic workflows to the evaluation itself, including automated judging, test generation, and analysis, to make evaluation more efficient, more accurate, and more scalable. * Drive end-to-end evaluation and quality of AI features, from model checkpoints to integrated, shipping features, including triaging issues and driving them to resolution. * Report quality clearly, turning evaluation results into ship/no-ship risk and recommendations for both technical and non-technical audiences. * Partner with and drive cross-functional teams, comfortable with ambiguity and making educated, critical judgments. Your curiosity about the latest developments in ML and generative AI, and your drive to apply new technology to practical problems, will set you apart.

Minimum Qualifications

5+ years of industry experience in machine learning or software engineering, with a focus on ML/AI model evaluation and quality. Experience with evaluation methodology for ML models, LLMs, and AI products or features. Strong understanding of the ML development cycle, from data and training to evaluation, deployment, and monitoring. Solid machine learning fundamentals and LLM knowledge, including agentic workflows, and you keep up with the latest developments in the field. Track record of applying LLMs, or agentic workflows to ML evaluation and quality. Experience in data curation, dataset creation, and dataset quality, including iterative improvement workflows that deliver high-quality datasets tailored to specific products. Experience designing, implementing, maintaining, or optimizing ML evaluation infrastructure at scale. Experience designing evaluation metrics based on the model, the product, and its use cases. Experience driving end-to-end evaluation and quality for AI products. Fluency in quality reporting, presenting quality data to both technical and non-technical audiences. Strong communication skills and experience working with and driving cross-functional partners. Proficient in Python and/or Swift or comparable languages. Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or equivalent experience.

Preferred Qualifications

Knowledge of the software development life cycle and software quality assurance methodologies. Experience in objective image and video quality evaluation and metrics. Knowledge of color science and/or experience with subjective image or video quality review. Passion for creative applications; experience as a creator (photo, video, music, or design) is a plus. Excitement about learning new technology and applying it to practical problems. Familiarity with iOS and macOS.

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More about this job

Responsibilities

You will define and implement evaluation strategies, metrics, and infrastructure to ensure the quality of AI features within creativity applications. This involves collaborating with cross-functional teams to translate product use cases into rigorous testing methodologies and reporting quality risks to stakeholders.

Requirements

Candidates must have at least 5 years of industry experience in machine learning or software engineering with a focus on model evaluation. Proficiency in Python or Swift and a strong understanding of the ML development cycle, including LLMs and data curation, are required.

Skills

Machine Learning
LLM
Evaluation Methodology
Data Curation
Python
Swift
Quality Assurance
Agentic Workflows
Infrastructure Design
Metrics Definition
Generative AI
Software Engineering
Data Science
Cross-functional Collaboration
Model Development
Technical Reporting

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
LLM
Generative AI
Evaluation Infrastructure
Data Curation
Python
Swift
Agentic Workflows
Quality Assurance
Metrics
Model Development
iOS
macOS
Image Quality
Video Quality
Color Science
Cross-functional Teams
Technical Reporting
Data Science
Computer Science
Product Development
Testing Strategy
Baseline Tracking
Automated Judging
Model Checkpoints
Risk Assessment
Creativity Apps
AI Features
Engineering

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