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.
Wayfair’s 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, dynamic, 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.
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 make autonomous 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, ConfigMaps, secrets).
Actively utilize AI-powered developer tools (e.g., Cursor, Co-Pilot, Google AI Suite) to enhance coding productivity and efficiency.
A solid understanding of Machine Learning fundamentals (e.g., supervised vs. unsupervised learning, model evaluation metrics) and experience with common ML libraries/frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
Familiarity with fine-tuning or serving large models (e.g., LLMs, diffusion models) and experience working with APIs for ML services (e.g., OpenAI, RunwayML, HuggingFace, Fal.ai).
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 (e.g., Buildkite, GitHub 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, BigQuery, or MongoDB.
Proficiency with React, building interactive UIs, and frontend state management (e.g., Redux, Zustand).
Experience with model optimization or quantization for deployment.
Understanding of model lifecycle management (MLflow, Weights & Biases).
Some DevOps experience (Terraform, Helm, ArgoCD).
Experience with GPU-enabled workloads and scheduling in Kubernetes.
Previous experience in a 3D content pipeline (e.g., architectural visualization, games, VFX workflows).
Experience building interactive UIs using React and modern frontend practices for ML-powered tools, integrating securely with backend APIs and authentication layers.
Why You’ll Love Wayfair
We are looking forward to your application!
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.
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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.
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