Software Engineer III - Visual AI Technology (Toronto)

Software Engineer III - Visual AI Technology (Toronto)

03 Aug
|
Wayfair
|
Toronto

03 Aug

Wayfair

Toronto

Job Description Candidates for this position can be based in Boston, Massachusetts This is primarily a hybrid role that requires 3 times a week in office, in addition to scheduled team collaboration required at the Wayfair Office in Boston, Massachusetts, up to 4 times per year.

The required team core hours are 9am-5pm EST.

Who We Are Wayfairs Visual AI Technology team is pioneering the future of home visualization.

We leverage advanced generative AI workflows, internal automated content pipelines, and partner with our creative teams to deliver immersive, energetic, and scalable visual experiences for millions of customers.

As a Software Engineer III on this team, you will build and maintain the core systems, APIs, and ML infrastructure that power our generative visuals.

Operating at the intersection of machine learning, platform scalability, and full-stack development, you will develop the frameworks and self-service environments that streamline our automated content pipelines and empower our digital artists.

What Youll Do System Ownership: Be responsible for making technical decisions related to multiple components of an existing code base / system that is managed by your team / atomic teams.

Autonomous Execution: While you will be assigned work by your Team Lead (EM/L4+ ICs), you will also makeautonomous decisions about prioritizing your work.

Ambiguous Problem Solving: Solve problems that arise within the components of an existing code base / system managed by your atomic team.

You will tackle problems that are more ambiguous because they are scoped (but not defined) for you.

Pattern Recognition & Improvement: Identify code or design patterns across an existing codebase / system.

Ensure the outcome of your work improves multiple components of the codebase / system.

Cross-Functional Collaboration: Interface with members of adjacent atomic teams within the same pod (eg: PM, XD, Analytics) to align on deliverables.

Drive Measurable Impact: Have a measurable business impact downstream on team members and the codebase within your atomic team, and upstream within your pod.

Build & Deploy: Design scalable and resilient microservices that interface with external APIs and internal models,



containerizing applications using Docker and managing services in Kubernetes (pods, services, Config

Maps, secrets).

Actively utilize AI-powered developer tools (., Cursor, Co-Pilot, Google AI Suite) to enhance coding productivity and efficiency.

We Are a Match Because You Have: A solid understanding of Machine Learning fundamentals (., supervised vs. unsupervised learning, model evaluation metrics) and experience with common ML libraries/frameworks (., PyTorch, Tensor

Flow, Scikit-learn).

Familiarity with fine-tuning or serving large models (., LLMs, diffusion models) and experience working with APIs for ML services (., OpenAI, RunwayML, Hugging

Face, .

Strong Python skills (experience with FastAPI or Flask is a bonus) and a solid understanding of cloud platforms (GCP/AWS/Azure) for compute-heavy workloads.

Comfort consuming and exposing REST and/or GraphQL APIs, along with experience using authentication methods (OAuth, API keys, JWT).

Familiarity with writing unit and integration tests, CI/CD tools (., Buildkite, Git

Hub Actions, Jenkins), and monitoring production systems (observability: logs, metrics, tracing).

An understanding of data preprocessing pipelines for ML input/output, and experience working with both structured and unstructured data (images, text, video).

Familiarity with data storage solutions like GCS, PostgreSQL, Big

Query, or MongoDB.

Proficiency with React, building interactive UIs, and frontend state management (., Redux, Zustand).

Nice to Have Experience with model optimization or quantization for deployment.

Understanding of model lifecycle management (MLflow, Weights & Biases).

Some Dev

Ops experience (Terraform, Helm, ArgoCD).

Experience with GPU-enabled workloads and scheduling in Kubernetes.





Previous experience in a 3D content pipeline (., architectural visualization, games, VFX workflows).

Experiencebuilding interactive UIs using React and modern frontend practices for ML-powered tools, integrating securely with backend APIs and authentication layers.

Why Youll Love Wayfair Time Off: Paid Holidays Paid Time Off (PTO) Health & Wellness: Full Health Benefits (Medical, Dental, Vision, HSA/FSA) Life Insurance DIsability Protection (Short Term & Long Term DIsability) Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global Class

Pass, and various regional gym memberships) Mental Health Support (Global Mental Health, Global Wayhealthy Recordings) Caregiver Services Financial Growth & Security: 401K Matching (Employee Matching Program) Tuition Reimbursement Financial Health Education (Knowledge of Financial Education - KOFE) Tax Advantaged Accounts Family Support: Family Planning Support Parental Leave Global Surrogacy & Adoption Policy Professional Development & Recognition: Rewards & Recognition Global Employee Anniversary Awards Paid Volunteer Work Unique Perks: Employee Discount .

Bluebikes Membership Global Pod Outings Work/Life Balance: Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments We are looking forward to your application! No matter who you are, Wayfair is a place you can call home.

Were 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.

Thats why were 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.

📌 Software Engineer III - Visual AI Technology (Toronto)
🏢 Wayfair
📍 Toronto

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