Senior Machine Learning Engineer, EPD Ads

Pinterest

Confirmed live today Trusted
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAPalo Alto, CASeattle, WA
Salary
$189,721–$332,012 / yr
Posted
20 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $232k
This role $261k
$167k $350k
below market most similar roles pay here above market

This role pays more than 79% of similar roles. Most pay $208,743–$254,750 — the blue band above. At the midpoint, this role pays about $261k versus about $232k 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 76 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 70 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Senior Machine Learning Engineer, EPD Ads

The Sr. Machine Learning Engineer, EPD Ads joins the Ads ML Engineering team to develop and execute a vision for the evolution of the machine learning technology stack. You will build cutting-edge technology using deep learning and machine learning to personalize the platform, specifically focusing on improving candidate retrieval through data-driven methods. Your daily work involves partnering across teams to experiment with models for Homefeed, Ads, Growth, Shopping, and Search surfaces. You will leverage LLMs for content understanding and utilize big data technologies like Hadoop and Spark to build data processing pipelines. Required skills include experience in user modeling, recommender systems, ranking, natural language processing, and reinforcement learning. You will solve complex problems in computational advertising, marketplace systems, and large-scale ads ranking.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 companies.

See salary data

What you'll do

  • Build cutting-edge technology using deep learning and machine learning to personalize the Pinterest platform.
  • Develop and execute a vision for the evolution of the machine learning technology stack within Ads.
  • Experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search surfaces.
  • Use data-driven methods and unique data properties to improve candidate retrieval.
  • Leverage Large Language Models (LLMs) to enhance content understanding.
  • Build data processing pipelines and large-scale machine learning systems using big data technologies.
  • Monitor and stay current with industry trends in recommendation systems.

What we're looking for

  • 2+ years of industry experience applying machine learning methods such as personalization, recommender systems, search, ranking, or NLP.
  • Degree in computer science, statistics, or a related field, or equivalent experience.
  • End-to-end hands-on experience building data processing pipelines, large-scale machine learning systems, and big data technologies like Hadoop/Spark.
  • Practical knowledge of large-scale recommender systems, modern ads ranking, retrieval, targeting, or marketplace systems.
  • M.S. or PhD in Machine Learning or related areas (preferred).
  • Publications at top ML conferences (preferred).
  • Experience using AI coding assistants like Cursor, Copilot, or Codex for development and debugging (preferred).
  • Expertise in scalable realtime systems that process stream data (preferred).

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