Please note:
This position is looking for a candidate who can start immediately. If you are a current student, please apply closer to your graduation date, or look for our openings that say ‘Summer 2027 Start’ in the title.
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
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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.
Wayfair is not able to sponsor or take over sponsorship of an employment-based immigration benefit for this role, now or in the future. Candidates must be authorized to work in Canada on a full-time basis without current or future employer sponsorship.
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.
The above base pay range may vary depending on location, job-related knowledge, skills and experience. For internal candidates, compensation determinations will be made based on your current position / level, your location, and the new position according to Wayfair's internal mobility policy. As you move through the internal interview process, your recruiter will be able to provide additional details regarding your specific compensation. Please note, the terms of internal offers, including the salary offered, are not negotiable.
