Elevate your career as a Software Engineer focused on ML Infrastructure at Tubi, where you'll design scalable, high-throughput systems. Your role emphasizes collaboration and data-driven optimization in ML applications.In this position, you'll develop cutting-edge distributed systems using Scala while partnering with ML engineers to solve infrastructure challenges. Your contributions will directly impact the performance of ML services across Tubi. You will also lead significant refactorings and mentor junior engineers to enhance team capabilities,



ensuring effective incident response practices.Key Responsibilities:Architect and build distributed systems for ML applicationsCollaborate with various teams to define ML infrastructure visionRecommend scalability solutions for the ML Inference stackConduct data-driven evaluations to enhance infrastructure efficiencyMentor engineers on system design and incident managementRequirements:Experience with Scala or another contemporary backend languageProficient in AWS or comparable cloud platformsBackground in microservices and low latency systemsFamiliar with SQL, NoSQL databases, and message brokersKnowledge of containerization with Docker or KubernetesDrive innovation and support ML application scalability at Tubi with your engineering expertise.#J-18808-Ljbffr

📌 Ml Infrastructure Software Engineer (Toronto)
🏢 Jobtailor
📍 Toronto