This role pays more than
94%
of similar roles. Most pay
$212,443–$260,050
— the shaded band above.
At the midpoint, this role pays about
$306k
versus about
$236k
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
82 open roles
on FindRole.
Listed pay typically runs
$164,695–$337,990
across 82 roles with salary data.
Staff Machine Learning Engineer, Ads Conversion Core Modeling will lead the technical vision for the Ads Conversion Core Modeling team to build state-of-the-art systems powering a global marketplace. The role involves leading applied machine learning projects, designing and building large-scale DNN models for low-latency user action prediction, and mining text, visual, and user signals to infer interests from online activity. You will also automate development tasks, mentor engineers, and collaborate with product teams to design new ad products. Required skills include a strong mathematical foundation in statistical methods and A/B testing, along with experience using AI coding assistants like Cursor, Copilot, or Codex. The position requires expertise in building production ML systems for search, recommendations, or ranking while utilizing LLM-powered tools for data exploration and engineering workflow acceleration to solve complex ads conversion challenges.
What does a Machine Learning Engineer earn in California?
Median $246394 from 172 postings across 28 companies.
Remote (San Francisco, CA)+27 days ago
$138,905–$285,982
Machine Learning
Deep Learning
Recommendation Systems
Natural Language Processing
Reinforcement Learning
Graph Representation Learning
Hadoop
Spark
SQL
Big Data
Data Processing Pipelines
realtime systems
Cursor
Copilot
Codex
Remote (San Francisco, CA)+27 days ago
$189,721–$332,012
Machine Learning
Deep Learning
Recommendation Systems
Natural Language Processing
Reinforcement Learning
Graph Representation Learning
Hadoop
Spark
SQL
Big Data
realtime systems
LLM
Copilot
Codex
Cursor