Jobs in Canada

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Added 11 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 17 hours ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
As a Field Engineer in the Enterprise track you will work with large organizations and digital-native companies adopting GenAI across the business. These engagements span more stakeholders…
Added 17 hours ago
FT
ML Engineer Manager, AI Conversation Platform
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Experience working as a Machine Learning Engineer, Applied Scientist or equivalent Individual Contributor.
Added 19 hours ago
RB
Lead, Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers…
Added 21 hours ago
Machine Learning Engineer, Evaluation and Quality, Creativity Apps
Apple
Vancouver, BC
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…
Added 22 hours ago
R
Lead, Full Stack Engineer
RBC
Vancouver, BC
- Full-time
The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers…
Added 23 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a highly skilled Senior Machine Learning Engineer with advanced hands-on experience in Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, Machine Learning Operations…
Added 1 day ago
V
Production Support
Virtusa
Toronto, ON
- Full-time
Job Summary: We are looking for a proactive IT Production Support Engineer with strong experience in Cloud technologies (AWS) to manage, monitor, and support our critical business…
Added 1 day ago
GW
AI and Data Engineer
George Weston Limited
Toronto, ON
- Full-time
The AI and Data engineer is responsible for implementing AI solutions to solve business problems and enhance business operations. This role is also responsible for building and managing…
Added 1 day ago
RD
Senior MLOps & Cloud Engineer (AWS / SageMaker)
Randstad Digital
Toronto, ON · Greater Toronto Area, Canada
- Full-time
This Senior MLOps & Cloud Engineer position exists to bridge machine learning model deployment, data transformation pipelines, and AWS cloud infrastructure. In this hands-on role, you will…
Added 1 day ago
B
Machine Learning Engineer
Bevertec
Toronto, ON
- Contract
Job Title: Machine Learning Engineer (Azure AI / MLOps)
Added 1 day ago
RB
Full Stack Engineer
Royal Bank of Canada
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions…
Added 1 day ago
C
Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
Added 1 day ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
As Senior Full Stack Engineer in AI Engineering within US Functions Technology (Finance, Risk, Law & Audit), you will be a hands-on contributor helping modernize how US corporate functions…
Added 1 day ago
SA
Senior Software Engineer, Real-Time Systems
Sanctuary AI
Vancouver, BC
- Full-time
…is looking to hire a skilled and motivated Senior Software Engineer to join our Real Time Systems team. The Real Time Software Engineer is a crucial part of our team, supporting the…
Added 1 day ago
Senior AI/ML & Robotics Platform Developer
Siemens
Kitchener, ON
We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be…
Added 1 day ago
F
Senior Full Stack Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
We're looking for a Senior Full Stack Engineer to help build the core platform and product of Foresight.
Added 1 day ago
SA
Machine Learning Engineer
Sanctuary AI
Vancouver, BC
- Full-time
Added 1 day ago
F
Senior Data Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 1 day ago
F
Senior Platform Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 1 day ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Platform Engineer to build the cloud foundation that Foresight runs on.
Added 1 day ago
FW
Applied AI Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.
Added 1 day ago
FW
Senior Data Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
We're looking for a Senior Data Engineer to build the data foundation behind Foresight.
Added 1 day ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
We’re seeking a Director & Principal Engineer, AI/ML & MLOps Platform, who brings a unique blend of deep technical expertise and strategic leadership. This is a hands-on engineering…
Added 1 day ago
F
Applied AI Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.

Apple

Machine Learning Engineer, Evaluation and Quality, Creativity Apps

Vancouver, BC, Canada

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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

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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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