Staff, ML Infrastructure Engineer

TubiLos Angeles, CA
5dHybrid

About The Position

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.

Requirements

  • 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

Nice To Haves

  • 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

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

Benefits

  • This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off and other benefits in accordance with applicable plan documents.
  • Tubi offers a Flexible Time off Policy to manage all personal matters.
  • 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.
  • Tubi offers a monthly wellness reimbursement.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

501-1,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service