The Data Science Intern will execute machine learning algorithms, communicate project results, and tackle complex marketplace challenges within a data-rich environment.

As a Front-end Engineer at Faire, you will collaborate with product managers and designers to enhance user experiences for order placements and inventory management. Your role will involve building responsive web applications, optimizing for performance, and understanding customer needs to inform user-centric designs.

As a Staff Data Scientist, you'll improve product listing quality using ML techniques, mentor junior team members, and lead strategy execution.

Lead and mentor the Search Infrastructure team, optimizing search performance and scalability, while collaborating with cross-functional teams to innovate search technologies.

This role involves planning and executing technology projects focused on performance and scalability, mentoring team members, and addressing production issues in distributed systems.

The Staff Engineer will lead technical strategy for the Core Platform Infrastructure group, focusing on system performance, scalability, and mentoring engineers while addressing complex challenges at scale.

The role involves developing machine learning models for search ranking and personalization to improve local retailers' competitiveness. Responsibilities include solving data-related challenges and contributing to team strategy.

As a Senior Front-end Engineer, you'll enhance the platform by developing robust applications and frameworks, optimizing performance, mentoring others, and aiding project success across teams.

As a Senior Full-Stack Engineer, you will collaborate across teams, lead technical projects, and enhance the platform's performance and scalability.

As a Back-end Engineer at Faire, you'll contribute to the Kotlin codebase, design and maintain APIs, write tests, and improve product architecture while collaborating with various teams.

Manage a cross-functional engineering team focused on growth strategies, lead software development practices, and improve operational efficiency at Faire.

As a Staff Data Scientist/Machine Learning Engineer, you will develop Ads Delivery and Advertiser Optimization solutions, tackling challenges related to ads targeting, retrieval, prediction, ranking, and auction design.

As a Staff Backend Engineer on the Ads team, you'll develop ads products, improve retrieval speed, and build cross-functional partnerships for a business-critical solution.

The Staff Front-End Engineer will optimize website performance, enhance front-end frameworks, mentor team members, and collaborate on impactful projects.

The Staff Data Scientist/Machine Learning Engineer will work on personalization, recommendation systems, and contribute to strategy, model development, and product impact using machine learning techniques.

As a Senior Data Scientist, you'll develop ML models to optimize costs, assess creditworthiness, enhance retailer growth, and improve product listings, collaborating with engineers and PMs to leverage marketplace data.

The Senior Front-end Engineer will collaborate with product and design teams to enhance product discovery experience, lead technical projects, optimize performance, and mentor developers.

As a Senior Back-end Engineer, you will develop core features, collaborate with Data Science teams, design APIs, write tests, and enhance customer experience.