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 applications
Collaborate with various teams to define ML infrastructure vision




Recommend scalability solutions for the ML Inference stack
Conduct data-driven evaluations to enhance infrastructure efficiency
Mentor engineers on system design and incident management

Requirements:
Experience with Scala or another up-to-date backend language
Proficient in AWS or comparable cloud platforms
Background in microservices and low latency systems
Familiar with SQL, NoSQL databases, and message brokers
Knowledge of containerization with Docker or Kubernetes

Drive innovation and support ML application scalability at Tubi with your engineering expertise.

📌 Ml Infrastructure Software Engineer Toronto
🏢 Jobtailor
📍 Toronto