Senior Staff Machine Learning Platform Engineer

Join Faire as a Senior Staff Machine Learning Platform Engineer, where you will own the technical vision and evolution of the company's ML platform. You will set standards, influence architecture, and lead complex initiatives that enhance data science velocity at scale. Your role will involve defining the long-term architecture of the ML platform, establishing company-wide standards, and optimizing performance and reliability. You will also serve as a senior technical advisor to the data science and production engineering teams, represent Faire at ML conferences, and mentor ML engineers.

• Definir y dirigir la arquitectura a largo plazo de la plataforma de ML de Faire, incluyendo el entrenamiento, la inferencia, la gestión de características y la gobernanza.
• Establecer estándares a nivel de empresa para la calidad del código, las pruebas, MLOps (CI/CD), la experimentación, la gestión del ciclo de vida del modelo y la observabilidad.
• Liderar la adopción y el uso avanzado de Unity Catalog, estrategias de múltiples espacios de trabajo y patrones de malla de datos/ML.
• Proven ability to design systems that support multiple data science teams and production workloads
• A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
• Strong background in distributed systems, ML infrastructure, and cloud architecture
• Previous contributions to open source ML Infrastructure projects or research publications is a very strong plus
• 10-12 years of experience building and improving large-scale ML or data platforms
• Demonstrated technical leadership across teams and orgs; ability to influence without authority
• Experience integrating LLM workflows into enterprise platforms is a plus
• Deep expertise in Databricks lakehouse architecture, including governance via Unity catalog, orchestration via Workflows, and cost optimization