Sr. Staff Machine Learning Engineer, Content Ecosystem

Pinterest

Remote Hybrid

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$227,871–$469,147 / yr
Posted
7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $224k
This role $349k
$147k most similar roles pay here $504k

This role pays more than 98% of similar roles. Most pay $198,800–$249,750 — the shaded band above. At the midpoint, this role pays about $349k versus about $224k for comparable roles.

Based on 240 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 55 open roles on FindRole.

Listed pay typically runs $158,765–$320,320 across 55 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Sr. Staff Machine Learning Engineer, Content Ecosystem

As a Sr. Staff ML Engineer at Pinterest, you will lead technical strategy and vision for machine learning systems that enhance the content ecosystem's health and performance across supply, distribution, and engagement outcomes. You’ll collaborate with data science teams to develop frameworks measuring content quality, diversity, and user value while identifying gaps in content creation and consumption. Your role involves balancing multi-objective optimization challenges such as relevance, quality, diversity, integrity, and monetization through rigorous causal analysis and model interpretability. With expertise in machine learning and optimization, you will mentor junior engineers, establish best practices for data governance, and apply advanced methods like game theory or reinforcement learning to improve long-term ecosystem outcomes. This role requires experience with AI coding assistants and a deep understanding of marketplace dynamics at scale.

What you'll do

  • Define technical strategy for ML systems to enhance Pinterest's content ecosystem health.
  • Develop a measurement framework to quantify and improve content quality and user value.
  • Identify underserved content areas by building models that analyze content gaps and contexts.
  • Design optimization approaches balancing relevance, quality, diversity, integrity, and monetization.
  • Mentor junior engineers and establish best practices for ML engineering rigor and excellence.

What we're looking for

  • Extensive experience leading technical strategy for machine learning systems.
  • Proven ability to develop and implement multi-objective optimization approaches.
  • Deep understanding of marketplace dynamics and long-term ecosystem health metrics.
  • Strong background in causal thinking, experimentation, and model interpretability.
  • Experience with AI coding assistants like Cursor, Copilot, or Codex.
  • Ability to mentor junior engineers and establish best ML engineering practices.

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