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Sr. ML Ops Engineer

3 weeks ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Kubernetes Linux Machine Learning MLOps Python Scala Terraform Zig
Apply Now
tvScientific

tvScientific

tvScientific offers a pioneering Connected TV advertising and marketing platform that integrates traditional television's impact with the effectiveness of digital advertising, specifically tailored for performance marketers.

Media
11-50
Founded 2020
$22M raised
View All Jobs 14

Description

  • Scale decision-making tools and workflows for the tvScientific AI team, including training infrastructure and Kubernetes deployments.
  • Improve the developer experience for the data science team.
  • Upgrade and maintain observability tooling.
  • Serve as a technical lead and mentor to the engineering team.
  • Ensure smooth and reliable deployments as infrastructure evolves.

Requirements

  • Deep understanding of Linux.
  • Excellent writing skills.
  • A systems-oriented mindset.
  • Experience in high-performance software environments such as RTB or HFT.
  • Software engineering experience with reliability and CI/CD expertise.
  • Strong observability instincts.
  • Experience with reverse engineering is preferred.
  • Experience with Terraform, EKS, or MLOps is preferred.
  • Experience with Python, Scala, or Zig is preferred.
  • Experience with NixOS is preferred.
  • Adtech or CTV experience is preferred.
  • Experience deploying distributed systems across multiple clouds is preferred.
  • Experience in hard real-time, low-latency environments under 10 ms is preferred.

Benefits

  • Base salary range of $155,584 to $320,320 USD.
  • Eligible for equity.
  • Remote work designation indicated by #LI-REMOTE.
  • Working model information available through PinFlex.
  • Access to Pinterest culture and employee benefits.

Interested in this position?

Apply directly on the company website

Apply Now

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