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 JVM
- Build reusable components for ML applications like Search and Ads




- Collaborate with cross-functional teams for long-term ML architecture
- Optimize latency and efficiency using data-driven methods
- Mentor team members on effective incident management

Requirements:

- Proficiency in Scala or another backend language
- Solid experience with AWS or similar cloud services
- Background in online microservices and low latency serving
- Familiarity with SQL and NoSQL databases
- Experience with Docker or Kubernetes

Utilize your expertise in distributed systems and cloud technologies to innovate within Tubi’s ML infrastructure.

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