tvScientific

Connected TV Advertising + Attribution Platform

Senior ML Ops Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 51-200Since 2020H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

15 days ago

Salary

$155.6K - $320.3K / year

EnglishKubernetesLinuxPythonScalaTerraform

Job Description

• Scale the decisionmaking process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments • Improve the developer experience for the data science team • Upgrade our observability tooling • Serve as a technical lead and mentor to the team • Make every deployment smooth as our infrastructure evolves.

Job Requirements

  • Deep understanding of Linux
  • Excellent writing skills
  • A systems-oriented mindset
  • Experience in high-performance software (RTB, HFT, etc.)
  • Software engineering experience + reliability (e.g. CI/CD) expertise
  • Strong observability instincts
  • Nice-To-Haves:
  • Reverse-engineering experience
  • Terraform, EKS, or MLOps experience
  • Python, Scala, or Zig experience
  • NixOS experience
  • Adtech or CTV experience
  • Experience deploying a distributed system across multiple clouds
  • Experience in hard real-time low-latency (<10 ms) environments

Benefits

  • Information regarding the culture at Pinterest and benefits available for this position can be found here.

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