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Added 3 hours ago
SG
Exclusive S&P Global Ratings Early Careers Virtual Networking Event
S&P Global
Toronto, ON
- Full-time
…Englewood. The event covers S&P Global Ratings' approach to credit analysis and what early-career success looks like at one of the largest providers of credit ratings in the…
Added 3 hours ago
AI
Student Intern
Allianz Insurance
Toronto, ON
- Full-time
…marketing and the business by monitoring and leveraging customer insights, market data, competitive analysis, product analysis, industry trends and outlooks, etc. to identify digital market…
Added 4 hours ago
SI
SAP iXp Intern – Sustainability Go-To-Market
SAP IT Business Systeme
Toronto, ON
- $21 to $38 CAD / hour
- Full-time
Apply AI synthesis to distill complex data and market signals into clear, actionable insights
Added 5 hours ago
P
May 2027 - Deals Financial Crimes Technology Non-CPA - Summer Intern - Toronto
PwC
Toronto, ON
- Full-time
…sectors. At the core of our expertise is an ability to extract insights from vast amounts of data to make informed decisions. Our collective knowledge from the PwC network and business…
Added 6 hours ago
J
Business Analyst, Entry Level
Jobright.ai
Canada
- Full-time
…Entry-Level Business Analyst, you will turn operational and product data into clear insights, gather requirements, analyze business processes, and partner with various teams to support…
Added 6 hours ago
J
Operations Analyst, Entry Level
Jobright.ai
Canada
- Full-time
…Entry-Level Operations Analyst will turn operational and product data into clear insights, gathering requirements, analyzing business processes, and building reports while collaborating…
Added 8 hours ago
BG
Tactical Marketing - Placement Year
BMW Group
Goodwood, ON
- Internship
Generate data-driven insights and recommendations
Added 8 hours ago
AC
Student Intern
Allianz Commercial
Toronto, ON
- Full-time
…marketing and the business by monitoring and leveraging customer insights, market data, competitive analysis, product analysis, industry trends and outlooks, etc. to identify digital market…
Added 10 hours ago
Intern Analyst, Strategic Initiatives Delivery (January 2027 - April 2027)
University Pension Plan
Toronto, ON
…Delivery (SID), to join our team in January 2027, for a 4-month internship. This role will be part of a growing and dynamic SID team, reporting into the Senior Director, Delivery Practice &…
Added 12 hours ago
M
Associate Consultant Intern, Summer 2027 - Toronto, Canada
Mastercard
Toronto, ON
- Full-time
Mastercard’s Advisors & Consulting Services (A&CS) team helps clients drive impact through data-driven insights, hands-on implementation, and a collaborative, tech-enabled culture. We…
Added 13 hours ago
L
Data Analytics Intern / Stagiaire analyse de données
Ludia
Montreal, QC
- Internship
As a Data Analyst Intern you will assist in the performance analysis of new features and game updates. Transforming data into insight by aggregating, visualizing and presenting.
Added 14 hours ago
M
Analyst, IT Vendor Management – New Grad Opportunity
McKesson
Mississauga, ON
- Full-time
…virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health,…
Added 18 hours ago
BG
Bespoke Sales & Marketing - Placement Year
BMW Group
Goodwood, ON
- Internship
Take Rate Analysis - extracting insights on feature performance to support continued option uptake and market strategies.
Added 1 day ago
B
Co-op or Intern, Financial Reporting & Insights - Sault Ste. Marie - January 2027
BDO
Sault Ste. Marie, ON
- Full-time
Our Sault Ste. Marie office is looking for a 4 month Co-op Student or Intern to join the Financial Reporting & Insights team from January to April 2027. This role is designed to offer a…
Added 2 days ago
Quantitative Equity Analyst Intern
CCLIM - Quantitative Equity
Vancouver, BC
Our Portfolio Construction group aims to maximize the capture of investment insights in portfolios. The group focuses on developing advanced optimization and portfolio monitoring systems,…
Added 2 days ago
B
Co-op or Intern, Financial Reporting & Insights - Manitoba - Summer 2027
BDO
Brandon, MB · Portage la Prairie, MB · Winnipeg, MB
- Full-time
Our Manitoba offices are looking for Co-op or Intern Students to join the Financial Reporting & Insights team from May to August 2027. This role will offer experience with reviews,…
Added 2 days ago
B
Co-op or Intern, Financial Reporting & Insights - Manitoba - Winter 2027
BDO
Brandon, MB · Portage la Prairie, MB · Winnipeg, MB
- Full-time
Our Manitoba offices are looking for Co-op or Intern Students to join the Financial Reporting & Insights team from January to April 2027. This role will offer experience with reviews,…
Added 2 days ago
Chubb Summer Internship Program (Underwriting & Claims)
Chubb
Toronto, ON
…business outcomes through diversity of background, experiences, insights and values. We approach problems with a can-do attitude and are committed to developing deep relationships - all…
Added 3 days ago
SC
SAP iXp Intern - Solution Adoption Campaign Coordinator
SAP Careers
Vancouver, BC
- $18 to $36 CAD / hour
- Full-time
…and the ability to synthesize and assess large quantities of data into actionable insights. Proficiency in SAP Analytics Cloud, Excel, and data management is required, with additional…
Added 3 days ago
B
Intern, Talent Acquisition - Engineering & Defense (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
Collect external talent data/intelligence for various business units and share useful insights.
Added 3 days ago
SI
SAP iXp Intern - Solution Adoption Campaign Coordinator
SAP IT Business Systeme
Vancouver, BC · Toronto, Ontario
- $18 to $36 CAD / hour
- Full-time
…and the ability to synthesize and assess large quantities of data into actionable insights. Proficiency in SAP Analytics Cloud, Excel, and data management is required, with additional…
Added 3 days ago
Intern - Product Marketing Winter 2027
EQ Bank | Canada's Challenger Bank
Toronto, ON
Assist with campaign tracking and reporting by gathering results, organizing data and identifying initial insights, trends and opportunities.
Added 3 days ago
I
AI & Automation Consultant Intern / Stagiaire conseiller en IA et automatisation
IBM
Toronto, ON
- $57,886.4 to $89,294.4 CAD / year
- Full-time
…problems, working in teams, and telling compelling stories with…
Added 3 days ago
I
AI & Automation Consultant Intern / Stagiaire conseiller en IA et automatisation
IBM
Montreal, QC
- $57,886.4 to $89,294.4 CAD / year
- Full-time
…problems, working in teams, and telling compelling stories with…
Added 3 days ago
I
AI & Automation Consultant Associate / Conseiller adjoint en IA et automatisation
IBM
Montreal, QC
- $67,575 to $95,400 CAD / year
- Full-time
Previous internship or project experience in business analysis, consulting, project coordination, or AI implementation

Closed listing

Wayfair

Machine Learning Scientist I

Toronto, ON, Canada

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

This opening has closed.

The original listing is kept below for reference.

Find open jobs More jobs with this employer

About employer

Job details

Pay: $132,440 to $145,684 CAD / year
Job type: Full-time
Closing date: Oct 10, 2026
Experience: 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Posting language: English
Posted: Sep 10, 2026

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Original job description

Archived listing. The details below describe a past opening.

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.

About employer

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 large datasets, collaborate with business and engineering teams to deliver maintainable solutions, and explore new tools and research opportunities.

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 experience, strong communication and analytical abilities, and the capacity to learn quickly; familiarity with machine learning methods, LLMs, and scalable data pipelines is preferred.

Skills

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

Benefits

Extended Health Care
Global Traveler Health Insurance
Mental Health Support
Financial Wellness Support
Physical Wellness Support
Emotional Wellness 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
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
Regression Analysis
Supervised Learning
Unsupervised Learning
Recommendation Systems
Reinforcement Learning
Deep Learning
Large Language Models
GPT
BERT
Transformers
Retrieval-Augmented Generation
Natural Language Processing
Fine-Tuning
Data Visualization
CI/CD
Containerization
Data Pipelines
Statistics
Object-Oriented Programming

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