Wayfair believes everyone should live in a home they love. Through technology and innovation, Wayfair makes it possible for shoppers to quickly and easily find what they want from a selection of more than 18 million items across home furnishings, decor, home improvement, housewares, and more. Committed to delighting its customers every step of the way, Wayfair is reinventing the way people shop for their homes – from product discovery to final delivery.
We are hiring our first Principal Software Engineer to be the technical leader and visionary for Search & Recommendations. From tens of millions of products, Search & Recs provides the most relevant recommendations for every single customer across Wayfair’s placements. Our technology serves personalized recommendations within milliseconds and our services are called over one billion times daily.
In this role, you will be our team’s most senior technical visionary, developing our future technical roadmap and ensuring that our engineering and data science teams are building the world’s best discovery platform for home.
What You'll Do:
- Act as a multiplier across the engineering organization. Actively participate in larger Wayfair architecture discussions to unlock:
- API consistency, discoverability, reuse
- Code quality
- Platform observability
- Integration patterns across teams (i.e. Domain driven design, event driven arch)
- Be recognized as an “enabler” who makes multiple teams more productive through tooling, working on the meta problem of engineering and ML development in particular as a process
- Encourage and promote a culture of innovation, results and world-class engineering across the wider engineering community
What You'll Need:
- Extensive experience across a range of contexts, with a preference for candidates with large-company, start-up and platform building experience
- Hands-on experience driving platform transformations within high-growth environments at scale
- Deep machine learning engineering exposure - knows how models should be trained, built, deployed, and served.
- Experience with big data technologies
- Experience designing microservice architectures
- Deep knowledge of information retrieval technologies, e.g., ElasticSearch
- Experience with large scale distributed systems
- Superior organizational and analytical skills with hypothesis-driven problem solving and turning data into actionable insights
- Ability to collaborate and influence at all levels across business and technology
- Bachelor's degree or equivalent practical experience
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 Berlin, 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, or genetic information.