Senior/ Staff ML Engineer, Recommendations Systems
Grow TherapyFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The role involves leading end-to-end development for discovery and recommendation systems in collaboration with product, design, data science, and engineering teams.
Quince fosters a high-performing team environment for builders, innovators, and operators, emphasizing customer first, high quality, essential design, better deals, and social & environmental responsibility, with a strong sense of belonging for those motivated by impact, growth, and purpose.
Success requires exercising high judgement, solving complex business and technical challenges with clarity and speed, and building data-driven, user-centric solutions.
This information is not specified in the job description.
This information is not specified in the job description.
Direct-to-consumer e-commerce for fashion and home essentials
Quince offers high-quality fashion and lifestyle products through its online retail platform. The company sources its products directly from manufacturers worldwide, which allows it to provide premium items at lower prices compared to traditional retail stores. Quince's product range includes clothing like dresses and blouses, as well as home essentials such as bed sheets. This direct-to-consumer model appeals to a diverse customer base, from those seeking stylish clothing to those in need of quality home goods. Quince differentiates itself from competitors by eliminating middlemen, ensuring affordability without compromising on quality. The company's goal is to make luxury accessible to everyone while fostering a community of satisfied customers who share their experiences on social media.