Staff Machine Learning Engineer, Ads Conversion

Pinterest

Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CAWA
Salary
$222,716–$389,753 / 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 $229k
This role $306k
$156k most similar roles pay here $415k

This role pays more than 92% of similar roles. Most pay $198,800–$260,012 — the shaded band above. At the midpoint, this role pays about $306k versus about $229k 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 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 · Staff Machine Learning Engineer, Ads Conversion

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As a Staff MLE on Pinterest’s Ads Advanced Conversion Modeling team, you will lead the technical vision and development of cutting-edge machine learning projects that enhance our global marketplace. Your day-to-day responsibilities include designing large-scale deep neural network models to predict user actions with low latency, mining various signals like text and visuals to understand user intent, and leveraging AI for efficient analysis and iteration while ensuring data integrity. You will also automate repetitive tasks and mentor junior engineers, collaborating closely with product and sales teams to innovate new ad products. Ideal candidates have over six years of experience building production ML systems at scale in areas such as search or recommendations, along with two years of leadership experience. Proficiency in AI coding assistants like Cursor and Copilot is essential, alongside a strong mathematical background and expertise in statistical methods and A/B testing.

Skills

Python TensorFlow Keras PyTorch Docker AWS CI/CD SQL PostgreSQL Redis Scikit-learn Pandas NumPy Jupyter Git GitHub Swagger Prometheus Grafana

What you'll do

  • Lead technical direction for Ads Advanced Conversion Modeling projects.
  • Design large-scale DNN models to enhance user action prediction accuracy.
  • Analyze text and visual signals to understand user intentions effectively.
  • Use AI tools to speed up analysis while ensuring solution correctness.
  • Automate documentation, reporting, and QA checks to streamline development.
  • Mentor engineers and collaborate with product teams on new ad products.

What we're looking for

  • Over 6 years of industry experience building production ML systems at scale.
  • At least 2 years of leadership in technical projects or teams.
  • Proficiency with AI coding assistants like Cursor, Copilot, Codex, etc.
  • Strong mathematical foundation and expertise in statistical methods and A/B testing.
  • Experience designing large-scale DNN models for low-latency user action prediction.

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