Staff ML Infra Engineer - Low-Latency Distributed Systems

Tubi Tv; San Francisco (CA); Hybrid; USD 130,000 - 160,000; Full time

Job summary

A leading streaming service is seeking a Staff Software Engineer to enhance ML infrastructure. The role involves designing scalable systems, mentoring engineers, and collaborating with cross-functional teams. Candidates should have over 8 years of experience in building distributed systems, strong skills in AWS, and knowledge of microservices. Additionally, familiarity with machine learning infrastructure is a plus. This position is based in San Francisco and allows for hybrid work.

Qualifications

• 8+ years of experience designing and building scalable distributed systems.
• Strong experience with AWS or an equivalent cloud platform.
• Experience with online microservices at scale with low latency.

Responsibilities

• Design and build scalable distributed systems using Scala.
• Collaborate with ML engineers to optimize ML Inference stack.
• Mentor other engineers on system design and incident management.

Skills

Scalable, distributed systems design

Machine learning

AWS or equivalent cloud platforms

Microservices

Containerization (Docker, Kubernetes)

Tools

SQL (Postgres)

NoSQL (Cassandra)

Message brokers (Kafka)

Caches (Redis)

Job description

A leading streaming service is seeking a Staff Software Engineer to enhance ML infrastructure. The role involves designing scalable systems, mentoring engineers, and collaborating with cross-functional teams. Candidates should have over 8 years of experience in building distributed systems, strong skills in AWS, and knowledge of microservices. Additionally, familiarity with machine learning infrastructure is a plus. This position is based in San Francisco and allows for hybrid work.