Jobs at Faire

Build end-to-end features for Faire's Brand pillar, collaborating with product, design, and data. Work across backend, frontend, and mobile stacks to optimize performance and scalability, mentor engineers, and drive product improvements from discovery through implementation while using modern tooling and AI productivity aids.

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.

Lead development of ML systems for retailer acquisition and engagement: bidding optimization, targeting, AEO/LLM-driven content, causal inference experiments, and scalable marketplace solutions working cross-functionally.

Own and maintain Kotlin-based backend services for Faire's Insider membership program. Collaborate with Data Science, Product, and Design to prototype and productionize ML-driven features, run experiments and analytics to measure performance, optimize service design and performance, reinforce membership benefits across customer surfaces, and mentor engineers on architecture and best practices.

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 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.

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.

Own Faire's ML platform architecture and standards across training, inference, feature management, governance, and MLOps. Architect scalable Databricks/Spark/Delta Lake/MLflow workflows, optimize cost and reliability, integrate LLM workflows, mentor engineers, and lead cross-functional initiatives to increase data science velocity.

Design and operate a scalable ML platform for model training, deployment, and governance while optimizing performance and supporting data scientists in productionizing workflows.

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.

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.