An Important Note about Wayfair's In-Office Policy and Salary:
Please note that this is a hybrid role based in Toronto, and will require you to work in the office on Tuesdays, Wednesdays, and Thursdays.
The salary range for this position is $207,800 - $228,771 per year. The base salary offered may vary depending on location, job-related knowledge, skills, and experience. Restricted stock units will also be provided as part of the compensation package.
Wayfair.com is a leader in the e-commerce space for all things home. Wayfair’s community of Engineers are obsessed with using data and technology to ensure our customers can build a home that they love. Our platforms support millions of people searching every day for the perfect item, and provide a unique purchase and delivery experience. Come help us innovate and grow to our next $10B in revenue!
We are looking for an experienced Senior Software Engineer to join our AI Platforms team that is building Wayfair's cutting edge solutions to the complex challenges teams encounter when developing AI applications at scale. The work includes but is not limited to building platforms, frameworks, and services that solve the difficult problems of observability, tool integration, performance optimization, and reliable AI system deployment that teams across the organization face. In a nutshell, you'll be tackling the hard problems that arise when building AI systems in production, creating solutions that enable teams throughout our global platform to focus on innovation rather than infrastructure and integration complexity.
We’re looking for someone who not only enjoys writing code and seeing their ideas come to fruition on a global scale, but is also able to upskill the engineers around them through leading by example. In this role, you will be leading the development of cloud native capabilities to ensure our Data Scientists can focus on model development and delivering cutting edge intelligent solutions.
What You’ll do:
- Drive and own the delivery of AI platforms from design and architecture to production
- Leverage your deep knowledge of AI engineering to build Wayfair's next generation AI capabilities
- Design scalable systems using Python, Go, Kubernetes, GCP, Airflow, and other technologies to support AI workloads
- Think outside of the current technology/stack limitations to push the boundaries on what is possible with AI and deliver feasible solutions collaboratively
- Champion open source solutions and Google Cloud native technologies, and their application to our AI use cases
- Develop end to end AI solutions that can power the full range of AI initiatives at Wayfair
- Partner with product leaders to understand technical pain points for data scientists and other teams building AI applications and translate them into clear and robust platform solutions
- Advise engineering and product management on AI platform technical roadmap, ensuring that the vision aligns with broader company objectives
- Promote a culture of engineering excellence and strengthen the technical expertise of our AI engineering and product teams
- Keep current on AI engineering technology trends, evaluate, work on proof-of-concept and make recommendations on the technologies based on their merit
Who you are:
- 5+ years of experience in software engineering and designing systems at scale
- 4+ years of experience in Linux-based development, Python/Go development, and leading engineering teams
- Experience developing AI/ML pipelines, model deployment systems, and orchestrating AI workloads with Kubernetes
- Strong understanding of containerization, AI system scalability challenges, and software engineering best practices
- Experience with AI/ML frameworks (TensorFlow, PyTorch) and model serving technologies
- Knowledge of AI system monitoring, performance optimization, and model lifecycle management
- Excellent communication skills with demonstrated experience driving teams and influencing technical decisions aligned with company AI strategy
- Hands-on experience in high-growth environments at scale, with ability to mentor engineers and collaborate with AI researchers and data scientists
Nice to Have:
- Mix of start-up and large-company experience working on AI solutions
- Familiarity with AI platforms (opensource or offered by Google Cloud) and how to implement them on a large scale
- Knowledge of vector databases, embedding systems, or real-time AI inference optimization
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 [email protected].
