Senior Software Engineer, Machine Learning Platform

5+ years of direct relevant experience in MLOps or DevOps, including experience operating large systems in a production environment

Experience deploying and monitoring systems using cloud infrastructure (GCP or AWS)

Experience working with Kubernetes, Docker, and CI/CD (Drone, Argo, Jenkins, etc)

Experience leading the development of large-scale, data-driven, distributed multi-tenant systems

Proficiency with at least one high-level programming language like Python or Go

The New York Times is looking for a Senior Software Engineer, with a focus on ML platform development, to join our Machine Learning & AI team to help solve creative challenges around Machine Learning infrastructure.

Machine Learning (ML) at the New York Times enhances the experience of our 150 million digital readers from around the globe and grows our subscriber base through content recommendations and personalizations.

The Machine Learning & AI team builds and maintains the infrastructure that hosts all of The New York Times real-time ML inference models, including both data and compute. Our partners are Data Scientists that build and deploy their ML models on the ML platform. On the other end, our partners are engineering systems that call these hosted models at scale with low-latency and Service Level Agreements (SLAs) guaranteed by our platform.

This role is a hybrid role, based in New York City. You will report to the Engineering Manager of the Machine Learning Platform team.

You will research, develop, and deploy infrastructure for the Machine Learning Platform that supports large-scale multi-tenant workloads