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Added 6 days ago
FT
Full Stack LLM Engineer
FDE Times
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 6 days ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750…
Added 6 days ago
A
Principal, AI Agent Control & Governance
ATB
Edmonton, AB · Calgary, AB
- Full-time
…velocity is maximized while maintaining audit-ready alignment with OSFI regulatory expectations (Guideline E-23 Model Risk Management, E-21 Operational Risk), enterprise risk appetites, and…
Added 6 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 6 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 6 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 6 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 6 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 6 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 6 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 6 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 6 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 7 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 7 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 7 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 7 days ago
FT
AI Field Engineer, EMEA
FDE Times
London, ON
- Full-time
Strong Python skills. Comfortable reading, writing, and debugging production code. Familiarity with Kubernetes and infrastructure engineering.
Added 7 days ago
RB
Senior Manager, AI Engineering (AML &Fraud)
Royal Bank of Canada
Vancouver, BC
- Full-time
Must have a strong technical background, with practical experience supporting integration testing, and development with one or more language (.Net, Java, Python)
Added 7 days ago
J
Senior Manager, Credit Risk
Jobber
Remote, Canada
- $124,530 to $204,585 CAD / year
- Full-time
- Remote
Jobber exists to help people in small businesses be successful. We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service…
Added 7 days ago
R
Senior Manager, AI Engineering (AML &Fraud)
RBC
Vancouver, BC
- Full-time
Must have a strong technical background, with practical experience supporting integration testing, and development with one or more language (.Net, Java, Python)
Added 7 days ago
Machine Learning Engineer, Evaluation and Quality, Creativity Apps
Apple
Vancouver, BC
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…
Added 7 days ago
TH
Product Manager II, Advanced Analytics, Tim Hortons, Canada
Tim Hortons
Toronto, ON
- Full-time
Candidates will be expected to work onsite 5 days per week out of our office in Toronto, ON
Added 7 days ago
R
Lead, Full Stack Engineer
RBC
Vancouver, BC
- Full-time
Software engineering background with at least one of the following languages: .NET, Java, or Python
Added 7 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 7 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 7 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite

Apple

Machine Learning Engineer, Evaluation and Quality, Creativity Apps

Vancouver, BC, Canada

Apply on jobs.apple.com About employer

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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.

Apply on jobs.apple.com About employer

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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Jobs in Canada