Salary Range: $120,000 - $130,000 per year
Start Date: ASAP

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.

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? Wayfair is looking for candidates who are passionate about programming and have strong core fundamentals.

You’ll join AI Platforms – AI Enablement, the team that enables all Wayfair teams to build, deploy, and operate AI-powered solutions at scale. We provide the foundational platform for both technical and non-technical users, with governance, observability, and cost management built in. If you are confident in your knowledge of building and deploying models, and applying strong software engineering fundamentals 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 production systems that power AI experiences across Wayfair: 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:

• Support designing and perform hands-on building of platform services and tooling that make it easy for teams across Wayfair to build AI-powered applications that are reliable, scalable, and easy to maintain.

• Help build and operate AI/ML pipelines and model deployment systems, including services that orchestrate AI workloads on Kubernetes and in the cloud.
• Contribute to the development of end to end AI solutions that can power the full range of AI initiatives at Wayfair.
• Ensure that engineering quality standards are met within your team through testing, code reviews, documentation, and incremental delivery.
• Contribute to architectural and code review discussions that impact our engineering ecosystem, especially around AI platforms, observability, and reliability.
• Collaborate with leads and engineers on your team to solve a wide variety of business and technical problems, from debugging production issues to shipping new platform features.
• Ensure our systems are properly documented so that other engineers can easily build on top of AI Platforms.

• Contribute to the growth and development of the Wayfair engineering organization by bringing a learning mindset, providing clear status updates, and sharing what you’ve learned with your peers.

What You’ll Need:

Basic Qualifications

• 0-3 years of transferable experience in a corporate environment, including internship and co-op experience.

• Bachelor’s degree.
• 1-3 years of transferable software development experience (full stack, backend, or platform/tools development) in a corporate environment, including internship and co-op experience.
• Bachelor’s in Computer Science, Computer Engineering, or another related technical discipline.
• Knowledge and experience working with object oriented programming languages and core CS fundamentals (data structures, algorithms, complexity).
• Proficiency in at least one modern programming language, with a strong preference for Python or Go; exposure to Java is a plus.
• Experience or exposure to SQL and working with relational data.

• Experience or exposure to modern AI/ML or data frameworks through coursework, projects, research, or internships (e.g., building a chatbot, RAG system, recommendation engine, or ML pipeline).

Preferred Qualifications

• Excellent team player with a passion for collaboration and clear communication in a fast-moving, highly iterative environment.

• Familiarity with creating software tools and functionality, debugging code, and successfully incorporating feedback into your work.
• Strong skills in solving complex problems with simple abstract solutions, including talking through trade-offs and how you navigated roadblocks in past projects.
• Experience building or contributing to AI applications, such as:
• • Chatbots or virtual assistants
  • RAG systems that retrieve and ground model responses in business data
  • Applications using embeddings, vector databases, or real-time model inference
• Exposure to containerization and orchestration (e.g., Docker, Kubernetes) and/or cloud platforms (e.g., GCP, AWS, Azure).
• An interest in working with big data and machine learning, including experimentation with generative AI and prompt engineering.
• Experience working in agile environments and comfort iterating quickly as AI technologies evolve.

• Strong communication skills and the ability to take on projects or tools autonomously, including owning well-scoped tickets and driving them to completion.

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.