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Added 8 days ago
C
Python Developer
Collabera
Toronto, ON
- $60 to $65 USD / hour
- Contract
Primary Technologies: Python, Databricks, Azure Functions, APIs, Azure SQL Database
Added 8 days ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 8 days ago
H
Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
Hands-on experience with AWS data services, Databricks, Delta Lake, Python, PySpark, and SQL.
Added 9 days ago
UO
Scientific Data Specialist
University of Victoria
Victoria, BC
- Full-time
some experience with relational databases, modelling and simulation, and using query tools such as SQL
Added 9 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 9 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
…nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de…
Added 9 days ago
R
Digital Transformation and Technology Business Analyst
Raise
Calgary, AB
- Full-time
Familiarity with SQL, Python, Jupyter Notebooks, or other advanced data-analysis methods.
Added 9 days ago
RB
Associate Director, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's market…
Added 9 days ago
S
Data Analyst
Syntrace
Toronto, ON
- Full-time
…the questions our team needs answered. You will work closely with our product and engineering…
Added 9 days ago
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Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
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…
Added 9 days ago
TH
Data Analyst
The Hospital for Sick Children
Toronto, ON
- Full-time
…children. In particular, the successful candidate will work with the newly developed GEMINI-Paediatrics data platform, using routinely generated clinical and administrative data from…
Added 9 days ago
PL
Actuary, Pricing
Pacific Life
Toronto, ON
- Full-time
Proficiency in actuarial modelling software (e.g Axis, Tyche, Prophet) and data analytics tools (e.g., SQL, Python, R, Tableau, Excel/VBA).
Added 9 days ago
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Jr. Software Developer
Fujitsu
Montreal, QC
- Full-time
Scripting languages: Python, JavaScript, TypeScript, PowerShell, Batch, SQL
Added 9 days ago
CO
Job ID #32294: Network Analyst II - Datacentre Operations
City Of Hamilton
Hamilton, ON
- Full-time
Internal applicants should apply with your work e-mail address. External applicants are considered only after the internal posting process has been completed. Only applicants chosen for an…
Added 9 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 9 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 9 days ago
AH
Lead
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…transforming, and analyzing large and complex datasets using SQL. Strong programming experience in Python and/or R for statistical analysis, data manipulation, automation, and model…
Added 9 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $112,006 to $149,341 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week.
Added 9 days ago
R
Associate Director, Global Risk Analytics
RBC
Toronto, ON
- Full-time
This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's market…
Added 9 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
Strong programming skills in one or more of Golang, Python, C++, JavaScript/TypeScript, or SQL.
Added 9 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Administer identity, access, and licensing for applications (e.g., roles and permissions, provisioning) in alignment with governance and audit requirements
Added 9 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
We are seeking a highly experienced, hands-on Lead / Principal Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise…
Added 9 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
…General Manager/SVP of Basketball Strategy and work side by side with data scientists, coaches, and basketball operations staff. This is a rare opportunity to help build the foundation of a…
Added 9 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services…
Added 9 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
The ideal candidate combines deep hands-on expertise in data warehouse modeling, lakehouse architecture, SQL, and production-grade data ingestion with the ability to make sound…

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
Apply by: Nov 8, 2026
Experience: 1-3 years of transferable experience in a corporate environment, including internship and co-op experience
Posting language: English
Posted: Oct 23, 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 business impact. Analyze data to guide business decisions, collaborate with scientists and engineers on maintainable solutions, and explore new tools and techniques.

Requirements

Requires 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. Candidates should have programming and data science tool experience, strong communication and learning skills, and familiarity with machine learning methods; experience with LLMs, production deployment, and scalable data pipelines is preferred.

Skills

Machine Learning
Data Science
Python
PyTorch
TensorFlow
SQL
PySpark
Docker
Google Cloud Platform
GitHub
Statistical Analysis
Regression Analysis
Recommendation Systems
Deep Learning
Natural Language Processing
Large Language Models

Benefits

Extended Health Care
Global Traveler Health Insurance
Mental, Financial, Physical, And Emotional Wellbeing Support
Basic 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
R
PyTorch
TensorFlow
SQL
PySpark
Docker
Google Cloud Platform
GitHub
Regression Analysis
Supervised Learning
Unsupervised Learning
Recommendation Systems
Reinforcement Learning
Deep Learning
Natural Language Processing
Large Language Models
GPT
BERT
Transformers
Retrieval-Augmented Generation
Fine-Tuning
Data Engineering
Scalable Data Pipelines
CI/CD
Containerization
Data Visualization

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