Sr. Software Engineer, ML Platform, tvScientific

Pinterest

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$155,584–$320,320 / yr
Posted
4 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $214k
This role $238k
$136k most similar roles pay here $340k

This role pays more than 71% of similar roles. Most pay $181,905–$246,150 — the shaded band above. At the midpoint, this role pays about $238k versus about $214k for comparable roles.

Based on 239 similar postings.

Employer

About Pinterest

Pinterest is a visual discovery and inspiration platform where people find ideas for home, style, recipes, and more. It serves hundreds of millions of users worldwide through its image and video pinboard product.

Pinterest currently has 36 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 35 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Sr. Software Engineer, ML Platform, tvScientific

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Join our team as an ML Platform Engineer at the intersection of sysops and systems programming, where you will work on business-critical infrastructure driving over $100M in annual revenue. You’ll scale decision-making processes for tools used by the AI team, enhance developer experiences, and upgrade observability tooling while serving as a technical lead and mentor. Key responsibilities include building a Kubernetes + Ray backend for model training pipelines to set new standards for reliability and performance. Ideal candidates have deep Linux knowledge, strong writing skills, and experience in high-performance software environments like RTB or HFT. Familiarity with Python, Scala, or Zig, as well as Terraform and EKS, is beneficial. This role offers the chance to shape ML innovation at tvScientific in 2026 and beyond.

Skills

Kubernetes Ray Python Terraform EKS MLOps CI/CD Linux Scala Zig NixOS Docker Prometheus Grafana PostgreSQL RabbitMQ Redis GitLab AWS Google Cloud

What you'll do

  • Scale decision-making processes for AI team tools and training infrastructure.
  • Enhance developer experience by improving workflows and Kubernetes deployments.
  • Upgrade observability tooling to ensure smooth system performance.
  • Serve as a technical lead and mentor within the engineering team.
  • Ensure reliable and efficient high-performance computing environments.

What we're looking for

  • 4+ years of industry experience in software engineering and reliability.
  • Deep understanding of Linux and high-performance software systems.
  • Excellent writing skills and a strong focus on observability.
  • Experience with Kubernetes deployments and CI/CD pipelines.
  • Technical leadership and mentoring abilities for the data science team.

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