Join Tubi as a Distributed Systems Engineer, focusing on scalable, low latency solutions in ML infrastructure. Your expertise in Scala and cloud technologies will be pivotal in supporting ML applications.As a key player in Tubi's engineering team, you will design and build high-throughput distributed systems. Your role involves collaborating with ML engineers to tackle challenges in our ML Inference stack and optimize infrastructure for cost and efficiency. Additionally, you will mentor fellow engineers,



guiding them in system design and incident management.Key Responsibilities:Design scalable distributed systems using Scala and JVMBuild reusable components for ML applications like Search and AdsCollaborate with cross-functional teams for long-term ML architectureOptimize latency and efficiency using data-driven methodsMentor team members on effective incident managementRequirements:Proficiency in Scala or another backend languageStrong experience with AWS or similar cloud servicesBackground in online microservices and low latency servingFamiliarity with SQL and NoSQL databasesExperience with Docker or KubernetesUtilize your expertise in distributed systems and cloud technologies to innovate within Tubi's ML infrastructure.#J-18808-Ljbffr

📌 Distributed Systems Engineer At Tubi (Toronto)
🏢 Jobtailor
📍 Toronto