Jobs at Faire

Drive backend architecture and APIs for the Brand Platform: define service boundaries, build AI enablement, optimize high-contention data models, deliver Kotlin server features, and improve customer-facing experiences for web and mobile.

As a Senior Data Scientist, you will enhance product listing quality for local retailers using machine learning and deep learning techniques. You will design ML solutions and collaborate with cross-functional teams to improve product discovery and evaluation processes.

Lead design and production of next-generation search and personalization systems using LLMs, dense vector retrieval, GNNs, multi-stage ranking, and reinforcement learning. Drive GPU-based deployment (e.g., Triton), ensure <100ms latency, mentor applied scientists and MLEs, and partner cross-functionally to productionize scalable, reliable search and recommendation experiences.

Lead technical strategy and hands-on implementation for Faire's data platform. Architect and scale ETL/ELT, streaming and batch pipelines, data warehousing, orchestration, monitoring, cost optimization, security, and governance. Mentor teams, prioritize platform roadmaps, and partner with product, analytics, and data science to enable self-serve data capabilities across the company.

The Data Engineer will develop and deliver technical projects focused on data integrity, security, and scalable analytics solutions, working closely with team members and ensuring effective data pipelines and infrastructure.

The Senior Growth Platform Engineer will design and build scalable backend systems, APIs, and growth infrastructure to enhance experimentation and targeting capabilities for retailers.

Lead development and productionization of next-generation search and recommendation systems using LLMs, dense-vector retrieval, personalization embeddings, multi-stage ranking, and GPU inference. Drive low-latency, personalized product search, mentor teammates, share MLOps best practices, and collaborate cross-functionally to move models from prototype to production.

Lead the Compass agent product as the technical and science owner: design and ship agentic/LLM-powered features end-to-end, set evaluation and experiment frameworks, build data-driven models and tooling, and collaborate across backend, data, and frontend to raise agent quality and enable safe action-taking behaviors.

Lead design and build of high-scale, low-latency backend systems for premium ad formats. Define architecture for unified serving and rendering, enable experimentation and optimization, collaborate with Product/Design/Data Science, mentor engineers, and drive availability, scalability, and roadmap for ad formats.

Manage full-cycle recruiting for business and tech roles: source candidates, partner with hiring managers, run ATS and reporting, drive offers and onboarding, and promote inclusive hiring while maintaining candidate experience and Faire company values.

Build and scale growth systems across the stack to drive retailer acquisition, onboarding, and engagement. Own end-to-end projects, implement experimentation and personalization infrastructure, design reliable services and APIs, instrument and analyze metrics with Data Science, and optimize user experiences for performance and conversion.

The role involves leading data engineering projects, building scalable data models, optimizing workflows, and ensuring data quality while collaborating with cross-functional teams.

Lead the technical vision and evolution of Faire's Growth Platform, focusing on communication systems, targeting capabilities, and developer tooling while mentoring engineers and enhancing developer experience.

As a Staff Backend Engineer, you will architect and develop high-performance search and discovery systems, integrating AI capabilities and optimizing search functionalities while mentoring the engineering team.