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Indigenous Muti Skilled Worker
Kinectrics
Toronto, ON
- Temporary
At Kinectrics, employees are recognized for their knowledge, experience, and contributions while working in a highly technical and challenging environment. Kinectrics puts you in the…
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Manager, Wealth Reporting Analytics & Automation
BMO
Toronto, ON
- Full-time
7+ years of relevant analytical experience (preferably within banking or FinTech), supported by a post‑secondary degree in a related discipline or an equivalent combination of education and…
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Senior Analyst, Business Tax - Toronto
Deloitte
Toronto, ON
- Full-time
Assist in creating a continuous learning environment through thought leadership
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TU
Director, Space Planning & Facilities Management
The University of British Columbia
Vancouver, BC
- $12,056.75 to $18,813.42 CAD / month
- Full-time
…employee that possesses full job knowledge, qualifications and experience for the position. In the normal course, employees will be hired, transferred or promoted between the minimum and…
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J
Mechanical Designer
Jule
Toronto, ON
- Volunteer
…creative problem-solving skills and gain hands-on engineering…
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E1
Hiring Now! Teach English Overseas with Full Training, Visa Sponsorship & Career Support
English 1
AB · Edmonton, AB
- Full-time
…culturally curious teachers who want to level up their career, experience life in China, and join a global community of educators. Whether you have several years of classroom experience or…
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E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Montreal, QC
- Full-time
Distance learning opportunities (Level 6 Trinity College CertPT, DELTM)
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BI
HR Manager
Begin Insurance
Markham, ON
- Full-time
Manage onboarding, training, and development plans to drive continuous learning.
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E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Oshawa, ON
- Full-time
Distance learning opportunities (Level 6 Trinity College CertPT, DELTM)
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Manager, Business Tax - Toronto
Deloitte
Toronto, ON
- Full-time
A minimum of 3-4 years of relevant experience in Canadian Tax.
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E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
London, ON
- Full-time
Distance learning opportunities (Level 6 Trinity College CertPT, DELTM)
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Senior Manager, Business Tax - Toronto
Deloitte
Toronto, ON
- Full-time
A minimum of 7-10 years of relevant experience in Canadian Tax.
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A3
Learning and Development Manager
Aluminum 3104
Belleville, ON
- Full-time
The Learning & Development Manager will build Aluminum 3104's learning function from nothing. There is no inherited curriculum, platform or team to tune up. This role sets the learning…
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DG
Software Engineering Architect
Dexterra Group
Calgary, AB
- Full-time
Mentor engineers, share knowledge and help build a culture grounded in quality, accountability, curiosity and continuous learning.
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E1
Hiring Now! Entry-Level English Teacher (ESL) | No Experience Needed
English 1
Windsor, ON
- Full-time
Distance learning opportunities (Level 6 Trinity College CertPT, DELTM)
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E1
Hiring Now! Teach English Overseas with Full Training, Visa Sponsorship & Career Support
English 1
Kitchener, ON
- Full-time
…culturally curious teachers who want to level up their career, experience life in China, and join a global community of educators. Whether you have several years of classroom experience or…
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DG
Software Engineering Architect
Dexterra Group
Mississauga, ON
- Full-time
Mentor engineers, share knowledge and help build a culture grounded in quality, accountability, curiosity and continuous learning.
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Machine Learning Engineer, Evaluation and Quality, Creativity Apps
Apple
Vancouver, BC
…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…
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Server
Red Robin Canada Team Members
Vernon, BC
Previous serving experience is welcome, but it is not required. If you have strong people skills, a positive attitude, and a willingness to learn, we’ll provide the training to help you…
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Line Cook
Red Robin Canada Team Members
Vernon, BC
We’re looking for dependable people who enjoy working with a team and want to learn. Previous kitchen experience is welcome, but it is not required - we’ll provide the training you need to…
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Bartender
Red Robin Canada Team Members
Prince George, BC
As a Bartender, you’ll create a welcoming bar experience while preparing beverages accurately, efficiently, and responsibly.
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Expeditor
Red Robin Canada Team Members
Langley (District), BC · Langley, BC
You’ll gain experience working with guests, Servers, the kitchen team, and restaurant leaders while learning menu knowledge, restaurant service, teamwork, and communication.
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Bartender
Red Robin Canada Team Members
Abbotsford, BC
As a Bartender, you’ll create a welcoming bar experience while preparing beverages accurately, efficiently, and responsibly.
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Manager, Customer Experience
Sysco
Calgary, AB · Sysco Calgary
- Full-time
The Customer Experience Manager at Sysco is a highly strategic and influential role, providing expert-level analytical leadership and driving significant impact on the company's customer…
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Part Time Sales Representative | Orchard Park
TELUS
Kelowna, BC
- Part-time
Our goal is to provide Canadians with an excellent experience, by connecting with our customers and meeting all their needs under one roof

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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