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Added 20 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Toronto, ON
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 20 days ago
F
Senior Demand Planner
Factor_
Toronto, ON
- Full-time
Develop, monitor, and adjust demand forecasts (including New product and SKU forecasting, box/recipe forecasting) using historical data and market trends.
Added 20 days ago
A
Senior / Staff Data Engineer (BI) – CEG Team
Agoda
Montreal, QC
- Full-time
As a Senior/Staff Data Engineer in CEG (Customer Experience Group), you will help design, build, and maintain the data and software foundations that power how CEG Business users serves…
Added 20 days ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 20 days ago
Senior Database Administrator
WestJet Group
Calgary, AB
Bachelor’s degree in Computer Science, Information Technology, Engineering, Information Systems, or a related field, and 7+ years of experience in database administration, or an equivalent…
Added 20 days ago
DC
Senior Hardware Verification Engineer
Delta Controls
Surrey, BC
- Full-time
Work Location: In-office 5 days per week
Added 20 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 20 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
Implement software validation engineering test plans, cases plus scripts.
Added 20 days ago
NOC Specialist
Rogers Communications
Calgary, AB · Burnaby, BC · North Vancouver, BC · Vancouver, BC · BC · West Vancouver, BC
CCNA or CCNP Routing & Switching certification required; Service Provider certification is considered an asset
Added 20 days ago
T
Data Scientist - Credit Risk (ATH 5531)
TD
Toronto, ON
- Full-time
Use data, analytics, and business insight to identify opportunities, improve credit strategies and customer outcomes, and answer not just "what happened?", but "so what?" and "what should…
Added 20 days ago
BR
Robotics Software Developer – ROS2, State Estimation, Perception
BHF Robotics
Markham, ON
- Full-time
Development Skills: Exceptional C++ / Python programming skills with a strong grasp of modern software engineering practices (Git, CI/CD, unit testing, profiling).
Added 20 days ago
C
Senior AI Engineer
Cloudoplus
ON · Ontario, Canada
- Full-time
…accomplished Senior AI Engineer with 10+ years of enterprise software engineering, machine learning, artificial intelligence, and distributed systems experience to architect, design,…
Added 20 days ago
P
Lead Data Scientist, Innovation Lab
PakEnergy
Calgary, AB
- Full-time
…customer pilots, and for the ML models you own, define the data, monitoring and MLOps requirements for a clean handoff to product and engineering…
Added 20 days ago
CA
Manager – Data Engineering & Platforms
Canadian Addiction Treatment Centers
Markham, ON
- $125,000 to $150,000 CAD / year
- Full-time
…healthcare services across Canada. CATC is is seeking a Manager, Data Engineering & Platforms to lead the development, operation and continuous improvement of CATC's enterprise data…
Added 20 days ago
Q
Machine Learning Engineer, AI Processors
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 20 days ago
Q
Staff Machine Learning Framework, Complier & Performance Engineer
Qualcomm
Canada
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 20 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 20 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 20 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 20 days ago
SM
Python Developer - Hybrid
S M Software Solutions Inc
Mississauga, ON
- Full-time
The Python Developer will develop software solutions using Python, applying strong software engineering principles and data manipulation techniques. The role involves analyzing source code…
Added 20 days ago
SM
Python Developer - Hybrid
S M Software Solutions Inc
Mississauga, ON
- Full-time
The Python Developer will develop software solutions using Python, applying strong software engineering principles and data manipulation techniques. The role involves analyzing source code…
Added 20 days ago
ZC
Machine Learning Engineer
Zurich Canada
Toronto, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 20 days ago
ZC
Machine Learning Engineer
Zurich Canada
Waterloo, ON
- Full-time
You will work within a modern cloud data and AI ecosystem and collaborate with Data Engineering, Data Science, Architecture, Governance, Security and business teams to turn data and AI…
Added 20 days ago
SM
Python Developer
S M Software Solutions Inc
Mississauga, ON
- Full-time
This is an on-site assignment, requiring candidates to be present in the office five days per week
Added 20 days ago
C
Ingénieur(e) applications GenAI / agentiques et DevSecOps
CGI
Montreal, QC
- Full-time
Build data pipelines for RAG: ingestion, chunking, embeddings, vector indexing, hybrid search and reranking.

Wayfair

Machine Learning Scientist I

Toronto, ON, Canada

$132,440 to $145,684 CAD / year · Full-time

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Job details

Pay: $132,440 to $145,684 CAD / year
Job type: Full-time
Work location: This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Experience: 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Posting language: English
Posted: Oct 21, 2026

Original job description

Salary Range: $132,500 - $150,700 per year

Location: Toronto, ON

This job posting is for an existing vacancy. Please click here/refer to Wayfair’s Career Page for information about how Wayfair uses AI to enhance its recruiting and hiring processes.

This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday).

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Wayfair is continuing to expand our commitment to hiring and supporting talent early in their careers, focusing on filling opportunities with recent graduates who have 0-3 years of work experience. We are continually recruiting candidates for this position on a rolling basis as we have a high volume of openings that become available.

Who We Are

Wayfair is on a mission to find the most talented engineers entering the tech world! Do you love innovating and creating new tools from scratch? We’re looking for engineers who love Wayfair is looking for candidates who are passionate about programming, and have strong core fundamentals. If you feel confident in your knowledge of object oriented design, data structures, & algorithms and your ability to grow your skills over time, please apply! We want to connect with developers who are eager to work in a highly collaborative team and add to Wayfair’s culture. You will have the opportunity to work on one of the following teams:sharing ideas, collaborating to improve them, and being a part of the full software development process. Our engineers are enthusiastic problem solvers and our teams are highly collaborative.

What You’ll Do

Own the full Data Science/Machine Learning lifecycle from conception to prototyping, testing, deploying, and measuring its overall business value
Develop and scale state-of-the-art machine learning methods and quantitative models to address core business problems
Integrate your algorithmic solutions into our technical platforms to run at scale and directly change the experiences of customers on our site
Drive measurable business value collaborating with business teams to change the course of Wayfair
Pilot projects using new open source tools and packages to enable novel machine learning techniques across the company
Uncover deep insights hidden in our vast repository of raw data and provide tactical guidance on how to act on findings
Use data to improve the decision-making of our employees, and ultimately, to enhance the experience of our customers and our suppliers
Work with a team of friendly and motivated scientists working together to build novel solutions to business problems
Collaborate with ML Scientists and software engineers to create maintainable, scalable and debuggable code by bringing strong software development practices
Drive any potential scientific publications based on the results in major Data Science and Machine Learning conferences or workshops

What You’ll Need

Basic Qualifications

1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Master’s degree in a quantitative field (Mathematics, Science, Engineering, Computer Science, Statistics/Biostatistics, Economics, Physics, Robotics, Operations Research, etc.) or Bachelor's degree in a quantitative field + 1+ years of experience
Proficient knowledge of structured programming language(s) (e.g. Python)
Experience with languages and tools relevant to data science, including Pytorch/TF, Github,Pyspark, Docker, SQL, GCP
Excellent communication skills, with the ability to clearly articulate complex AI concepts to non-technical stakeholders while collaborating across teams
Demonstrated ability to quickly learn new tools and techniques in a fast-paced, evolving environment, while managing multiple priorities with a high level of attention to detail and staying current with the latest ML research

Preferred Qualifications

Familiarity with regression and machine learning techniques, such as supervised/unsupervised learning, recommendation systems, reinforcement learning, deep learning, etc.
An affinity for data along with experience leveraging statistics and regression analysis
Intuitive sense of how quantitative and technical work aligns closely with business priorities and business value
Familiarity with data structures, algorithms, OOP, and programming in a team environment
Quick learner with an analytical approach to solving problems as part of a team who has strong communication skills
Ability to thrive in a dynamic environment where there can be degrees of ambiguity
Ability to effectively work with technical leads: ability to synthesize conclusions for non-experts and desire to influence technical decision
Hands-on experience with large language models (e.g., GPT, BERT, Transformers) and Retrieval-Augmented Generation (RAG) techniques, and fine-tuning LLM models to address specific business challenges
Solid understanding of natural language processing methods and traditional machine learning techniques to effectively tackle diverse problems
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and implementing CI/CD, containerization, and version control best practices
Proven track record of delivering successful machine learning projects from conception to production, demonstrating strong deployment, problem-solving, and maintenance skills
Deep understanding of data engineering concepts with experience in building scalable data pipelines for collecting, processing, and transforming data

Why You’ll Love Wayfair

Benefits & Perks - Canada

In addition to provincial healthcare, Wayfair offers Canadian employees additional extended health care through Desjardins.
Global Traveler Health Insurance through GeoBlue.
24/7 access to mental, financial, physical and emotional wellbeing support, plus an enhanced offering of therapy and coaching.
Automatic enrollment into Basic Life and Accidental Death & Disability Insurance.
Registered Retirement Savings Plan with day one vesting.
Paid Parental Leave and Surrogacy & Adoption Reimbursement.
Tuition Reimbursement.
Personalized financial planning through LearnLux.
Wayfair Employee Discount.
Gym/Fitness Discounts (including Peloton, GoodLife Global ClassPass).
Exclusive access to thousands of perks & discounts through Perkopolis and BenefitHub.
Yearly match up to $500 for personal donations made by employees to registered 501(c)(3) nonprofits.

Purpose & Inclusion At Wayfair

At Wayfair, we pride ourselves on fostering an environment where every individual experiences a fair and equitable employee journey. We are committed to developing targeted resources that raise awareness around inclusion and eliminate barriers, ensuring Wayfair provides a fair and inclusive workplace experience for everyone.

Social Impact & Responsibility

At Wayfair, we focus on helping people on their journey to home - specifically those who have lost their way from home. We do this by leveraging our best assets, such as collaborating with leading nonprofit organizations, coordinating in-kind product donations, empowering our employees to get involved through paid volunteer time off programs, and encouraging our customers to donate. This multi-faceted approach allows us to support communities in need in authentic ways that align with Wayfair's broader mission of helping everyone, anywhere create their sense of home.

Assistance For Individuals With Disabilities

Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.

Need Technical Assistance?

For more information about applying for a career at wayfair, visit our FAQ page here.

About Wayfair Inc.

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking.

No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.

Your personal data is processed in accordance with our Candidate Privacy Notice (https://www.wayfair.com/careers/privacy). If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at dataprotectionofficer@wayfair.com.

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More about this job

Responsibilities

Own the machine learning lifecycle, from developing and testing models to deploying them at scale and measuring their business impact. Analyze data to guide business decisions, collaborate with scientists and engineers on maintainable solutions, and explore new tools and techniques for customer and supplier experiences.

Requirements

Candidates need 1–3 years of transferable experience and either a master’s degree in a quantitative field or a bachelor’s degree in a quantitative field plus at least one year of experience. They should have programming and data science tool proficiency, strong communication and learning skills, and familiarity with machine learning methods; experience with LLMs, production deployments, and scalable data pipelines is preferred.

Skills

Machine Learning
Data Science
Python
PyTorch
TensorFlow
PySpark
Docker
SQL
Google Cloud Platform
Large Language Models
Retrieval-Augmented Generation
Natural Language Processing
Data Engineering
Statistical Analysis
Regression Analysis
Software Development

Benefits

Extended Health Care
Global Traveler Health Insurance
Mental, Financial, Physical, And Emotional Wellbeing Support
Life Insurance
Accidental Death And Disability Insurance
Paid Parental Leave
Surrogacy And Adoption Reimbursement
Tuition Reimbursement
Personalized Financial Planning
Employee Discount
Gym And Fitness Discounts
Perks And Discounts
Charitable Donation Matching
Paid Volunteer Time Off

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Data Science
Quantitative Modeling
Python
PyTorch
TensorFlow
GitHub
PySpark
Docker
SQL
Google Cloud Platform
Supervised Learning
Unsupervised Learning
Recommendation Systems
Reinforcement Learning
Deep Learning
Large Language Models
GPT
BERT
Transformers
Retrieval-Augmented Generation
Natural Language Processing
Regression Analysis
Data Visualization
CI/CD
Data Pipelines
Object-Oriented Programming
Data Structures And Algorithms
Model Deployment
Statistical Analysis

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Jobs in Canada