OUR STORY
Quince was started to challenge the existing idea that nice things should cost a lot. Our mission was simple: create an item of equal or greater quality than the leading luxury brands and sell them at a much lower price.
OUR VALUES
EVERYONE SHOULD BE ABLE TO AFFORD NICE THINGS. Quality shouldn’t be a luxury. We’re proud of our mission to bring the world’s highest quality goods to people at affordable prices.
QUALITY IS MORE THAN MATERIALS. True quality is a combination of premium materials and high production standards.
WE FOCUS ON THE ESSENTIALS. From the perfect crewneck sweater to hotel quality sheets, we're all about high quality essentials that bring enjoyment to daily life.
WE’RE INNOVATING TO MAKE UNREAL PRICES A REALITY. Our uniquely developed factory-direct model lets us offer exceptionally high quality goods for much lower prices than our competitors.
ALWAYS A BETTER DEAL. We believe in real price transparency, for both our customers and factory partners. This way, everyone gets a better deal.
FAIR FACTORIES. We are committed to working with factories that meet the global standards for workplace safety and wage fairness.
OUR TEAM AND SUCCESS
Quince is a retail and technology company co-founded by a team that has extensive experience in retail, technology and building early stage companies. You’ll work with a team of world-class talent from Stanford GSB, Wish.com, D.E. Shaw, Stitch Fix, Urban Outfitters, Wayfair, McKinsey, Nike etc.
THE IDEAL CANDIDATE
We are seeking passionate individuals eager to revolutionize the way people purchase essential goods by leveraging cutting-edge ML and AI solutions. Our centralized data science team is dedicated to optimizing and automating decision-making processes while delivering valuable, actionable business insights. As an ML Infrastructure Engineer at Quince, you will play a critical role in shaping our ML development ecosystem. You will build and own the foundational ML development processes, operational pipelines, and production infrastructure necessary to support a scalable, efficient, and impactful ML practice. Your contributions will directly enhance our ability to drive meaningful business outcomes and innovation.