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Sr. ML Ops Engineer, tvScientific

1 month, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
CI/CD Kubernetes Linux MLOps Python Scala Terraform Zig
Apply Now
Pinterest

Pinterest

Pinterest is the world's first visual discovery engine, offering a vast dataset of ideas with over 200 billion recipes, home hacks, and style inspiration. With a mission to inspire everyone to create a life they love, Pinterest empowers its employees t...

Internet Software & Services
5K-10K
Founded 2010
View All Jobs 82

Description

  • Scale tooling and decision-making across AI workflows, 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 team.
  • Help ensure deployments are smooth as the 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 expertise such as CI/CD.
  • Strong observability instincts.
  • Demonstrated ability to use AI to improve speed and quality in day-to-day work.
  • Strong track record of critically evaluating and verifying AI-assisted work through testing, source-checking, data validation, or peer review.
  • High integrity and ownership, including protecting sensitive data and staying accountable for final decisions and deliverables.
  • Reverse-engineering experience is preferred.
  • Experience with Terraform, EKS, or MLOps is preferred.
  • Experience with Python, Scala, or Zig is preferred.
  • NixOS experience 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 for US-based applicants.
  • Eligible for equity.
  • Flexible working model through PinFlex.
  • Remote-eligible role (#LI-REMOTE).
  • Equal opportunity employer with inclusive hiring practices.
  • Accommodation support available during the application process.

Interested in this position?

Apply directly on the company website

Apply Now

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