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Added 10 days ago
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Software Developer Embedded Systems I (Co-op) - Canada
Cisco
Montreal, QC
- Full-time
As an Embedded Systems Software Developer Co-op, you will contribute to the design, enhancement, and testing of foundational software powering Cisco’s networking platforms and intelligent…
Added 10 days ago
R
Lead Agentic AI Engineer
RBC
Toronto, ON
- Full-time
…productivity through agentic AI workflows - bridging business problems with intelligent automation. This is a high-ambiguity, rapid experimentation role where you'll define how vendor…
Added 10 days ago
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Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
Partner with Platform/SRE on SLIs/SLOs, incident response, and postmortems.
Added 10 days ago
R
Prod Srvc Lead, Client Technology Support– Salesforce CRM
RBC
Toronto, ON
- Full-time
Experience with RHEL Unix / Linux / Windows environments and basic scripting (Perl, Bash, Python, Powershell, batch)
Added 10 days ago
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Data Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Experience with programming languages such as Python, SQL, Java, and/or Scala.
Added 10 days ago
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Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
- Full-time
Experience: 3+ years of professional experience in software quality engineering, test automation, or data/ML engineering, with a dedicated focus on LLM testing, prompt tuning, or…
Added 10 days ago
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DevOps Engineer - New Grad (January 2027)
BDO
Toronto, ON
- Full-time
Develop automation and scripting using Python, PowerShell, and Azure CLI.
Added 10 days ago
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Software Developer
Xe.com
Newmarket, ON
- Full-time
…repos are now aligned to faster container-based deployments with CI/CD pipelines. We are increasing the automation of testing and promoting a Shift-Left…
Added 10 days ago
X
Software Developer
Xe.com
Newmarket, ON
- Full-time
…repos are now aligned to faster container-based deployments with CI/CD pipelines. We are increasing the automation of testing and promoting a Shift-Left…
Added 10 days ago
SM
RQ00821 – Solution Architect – CRM – Intermediate
S M Software Solutions Inc
Toronto, ON
- Internship
Customization: Experience with Maximo Business Objects and Web Beans (Java), Automation Scripts (Java, Python, or other scripting languages).
Added 10 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data…
Added 10 days ago
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Director, Data Foundations, Automation & Infrastructure
BMO
Toronto, ON · YNG
- Full-time
As Director, Data Foundations, Automation & Information Infrastructure, you will lead a highly technical team responsible for delivering trusted, curated, and scalable data assets that…
Added 10 days ago
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FY27 Intern - Automotive Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Experience with scripting languages like Python and CI/CD workflows
Added 10 days ago
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Senior Software Engineer II
Schneider Electric
Calgary, AB
- $114,750 to $162,000 CAD / year
- Part-time
…building and operating Generative AI solutions, including agentic automation platforms, product-integrated GenAI capabilities and internal AI applications. The remaining 25% will involve…
Added 10 days ago
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Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java,…
Added 10 days ago
EC
Développeur(euse) logiciel principal(e) / Lead Software Developer
Eaton Corporation
Brossard, QC
- Full-time
Eaton's Electrical Engineering Services and Systems division is currently seeking a Lead Software Developer. This role is based in our Eaton Americas Innovation Center in Brossard (QC) and…
Added 10 days ago
RB
Senior Site Reliability Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Collaborate with development teams to ensure applications are designed for reliability, observability, and operational excellence
Added 10 days ago
HR
IT and Odoo Specialist
Haply Robotics
Montreal, QC
- Full-time
Python (for Odoo modules, integration scripts, lightweight automation).
Added 10 days ago
LV
Computer Vision Engineer, FPGA
LUCID Vision Labs, Inc.
Burnaby, BC
- Full-time
…a wide range of industries and applications such as factory automation, medical, life sciences and logistics. Our expertise combines deep industry experience with a passion for product…
Added 10 days ago
AS
Full Stack Java Developer
Apex Systems
Toronto, ON
- $55 to $80 USD / hour
- Contract
We are seeking an Expert Full Stack Developer to design, build, and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases, and cloud deployments.…
Added 10 days ago
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Senior Site Reliability Engineer
RBC
Toronto, ON
- Full-time
Collaborate with development teams to ensure applications are designed for reliability, observability, and operational excellence
Added 10 days ago
Machine Learning Engineer, Software QA - Creativity Apps
Apple
Vancouver, BC
…from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are…
Added 10 days ago
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Senior Offensive Security Engineer
Cognizant
Toronto, ON
- Full-time
…This role combines traditional offensive security expertise with AI/LLM security, cloud security, vulnerability management, and security automation. The ideal candidate will conduct web and…
Added 10 days ago
BR
AI Solutions Architect
Benchmark Recruitment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Contract
Working closely with a cross-functional AI software development team, the successful candidate will own the end-to-end solution architecture, from requirements gathering and technical…
Added 10 days ago
KG
Agent & DevOps Platform Engineer
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
We are looking for an experienced Agent & DevOps Platform Engineer with 5 + years of expertise in AWS, Python, Kubernetes, CI/CD, DevSecOps, and AI/LLM platforms. In this role, you'll build…

Apple

Machine Learning Engineer, Software QA - Creativity Apps

Vancouver, BC, Canada

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Job details

Experience: At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning.
Posting language: English
Posted: Oct 16, 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 QA team is seeking a Software QA Engineer, Machine Learning to help us ensure that our iOS and macOS creativity applications are high-quality. We’re looking for an engineer to take projects from defining evaluation strategy, evaluation scripting and automation, leading all stages of testing, triaging and driving issues to resolution, and ensuring high quality models are integrated into our Apps' clients through rigorous testing methodologies. You will have the unique and rewarding opportunity to help shape upcoming products that will delight and inspire millions of Apple’s customers every day.

Description

This position requires a self-motivated individual with strong technical, problem solving and communication skills, and the willingness to work in a sophisticated environment. Responsibilities include scripting, parsing data, and working closely with the annotation operations team. Analyzing annotations and test results to ensure the features work end-to-end for customers. Developing and implementing workflow projects, regression testing, and bug filing. You will work closely with other team members to develop requirements, identify appropriate testing implementations processes, and methodologies. You should be able to be comfortable with ambiguity and make educated, critical judgments. You must be effective and systematic at managing priorities, and communicating progress as well as risk through regular status updates. Have a proven ability to ramp up quickly on both existing and new technologies.

Minimum Qualifications

At least 5 years industry experience ideally in quality assurance with a prior focus in Machine Learning. Strong comprehension of machine learning algorithms, supervised and unsupervised modeling techniques. Understand of the mechanics of machine learning, deep learning, computer vision, natural language processing, and generative AI. Proficient in Python and/or Swift or comparable languages. Preparing and collecting data for evaluation and ensuring data quality. Meticulous, analytical, methodical and creative problem solving ability with a commitment to driving quality forward. Detail-oriented, analytical, methodical and creative thinker committed to driving quality forward. Prototyping and tools development experience. Strong presentation skills and ability to adapt technical presentation to various audiences. Proficiency in utilizing LLMs and Generative AI frameworks to automate model evaluation processes, optimize test execution times, and improve evaluation accuracy and efficiency. Bachelor's degree in Computer Science, Data Science, Applied Mathematics or similar, combined with an understanding of SQA methodologies, machine learning and software engineering experience.

Preferred Qualifications

Understanding of subjective/objective image and video quality evaluation, and color science concepts is a strong plus. Understanding of SQA methodologies and practices, software engineering experience preferred. iOS and macOS familiarity.

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More about this job

Responsibilities

You will lead the evaluation strategy, scripting, and automation for machine learning models within iOS and macOS creativity applications. This role involves collaborating with annotation teams to analyze test results and ensure high-quality, end-to-end feature performance.

Requirements

Candidates must have at least 5 years of industry experience in quality assurance with a focus on machine learning and proficiency in Python or Swift. A bachelor's degree in Computer Science, Data Science, or a related field is required, along with strong analytical and problem-solving skills.

Skills

Machine Learning
Software QA
Python
Swift
Deep Learning
Computer Vision
Natural Language Processing
Generative AI
LLMs
Automation
Data Analysis
Regression Testing
Bug Filing
Prototyping
Model Evaluation
SQA Methodologies

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software QA
iOS
macOS
Python
Swift
Deep Learning
Computer Vision
Natural Language Processing
Generative AI
LLMs
Automation
Regression Testing
Data Quality
Prototyping
Model Evaluation
SQA
Image Quality
Video Quality
Color Science
Annotation
Software Engineering
Data Science
Applied Mathematics
Technical Communication
Problem Solving
Workflow Development
Bug Tracking
Model Integration
Evaluation Strategy

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