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Tubi

Staff, ML Infrastructure Engineer

Reposted 2 Days Ago
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In-Office
Toronto, ON
Senior level
Easy Apply
In-Office
Toronto, ON
Senior level
The role involves designing scalable distributed systems using Scala, enhancing feature stores for performance, and collaborating with ML engineers to resolve challenges.
The summary above was generated by AI
About Tubi:

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

About the Role:

This Software Engineering team works closely with Machine Learning and Product teams to assist in building world-class machine-learning operating systems for the Tubi platform. The efforts of this team help take inference systems to the next level of low latency serving by exploring new frameworks. You will improve the way we deploy and operate our services and even contribute to open-source projects.

Responsibilities:

  • Design and build scalable, high throughput, and/or low latency distributed systems using Scala
  • You will redesign aspects of the online feature store for efficiency and low latency
  • You will work with ML engineers to understand their challenges and limitations and work to solve them

Your Background:

  • 8+ years of experience designing and developing scalable distributed systems with either Scala or Java (we use Scala)
  • Strong experience with AWS or an equivalent cloud platform
  • Experience building online microservices at scale with low latency serving
  • Experience with both SQL (e.g. Postgres) and NoSQL databases (e.g. Cassandra), message brokers (e.g. Kafka)
  • Experience with containerization technologies, such as Docker or Kubernetes

Bonus:

  • Familiarity with the machine learning infrastructure
  • Previous experience with Akka
  • Ability to debug complex issues such as finding root causes of high CPU, memory situations, resource contentions, identifying bottlenecks, data query hot spots, etc

#LI-Hybrid

Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.  The following distinctions below outline the differences between the Tubi and FOX benefits:

  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of birth, adoption, surrogacy, or foster placement of a child in addition to applicable government leave program(s) and FOX’s short-term disability policy. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.

Top Skills

AWS
Cassandra
Docker
Java
Kafka
Kubernetes
NoSQL
Postgres
Scala
SQL

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