Sr. Machine Learning Engineer, Monetization Engineering

Quick summary

Work type: On-site
Location: San Francisco, CAPalo Alto, CASeattle, WA
Salary: $189,721–$332,012 / yr
Posted: 14 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $218k

This role $261k

$152k most similar roles pay here $351k

This role pays more than 86% of similar roles. Most pay $186,575–$249,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $218k 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 37 open roles on FindRole.

Listed pay typically runs $164,695–$332,012 across 37 roles with salary data.

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View all roles at Pinterest

At a glance

TL;DR · Sr. Machine Learning Engineer, Monetization Engineering

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As a Senior Machine Learning Engineer on Pinterest’s Monetization ML Engineering team, you will develop and execute a vision for advancing the machine learning technology stack within Ads. Your day-to-day responsibilities include building cutting-edge deep learning models to personalize user experiences across various product surfaces such as Homefeed, Ads, Growth, Shopping, and Search. You will collaborate closely with cross-functional teams to experiment and improve ML models while leveraging data-driven methods to enhance candidate retrieval. Additionally, you will stay current with industry trends in recommendation systems and utilize large language models (LLMs) to better understand content. The ideal candidate has 2+ years of experience applying machine learning techniques such as user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, and graph representation learning, along with hands-on expertise in building data processing pipelines and big data technologies like Hadoop/Spark.

Skills

Python Java Scala R Hadoop Spark TensorFlow PyTorch Kafka Storm MLlib GraphFrames Redis PostgreSQL MongoDB CI/CD Git Docker Kubernetes

What you'll do

Build advanced machine learning technology using deep learning to personalize user experiences on Pinterest.
Experiment and enhance ML models for product surfaces like Homefeed, Ads, Growth, Shopping, and Search.
Improve candidate retrieval systems using data-driven methods tailored to Pinterest’s unique data properties.
Stay updated with industry trends in recommendation systems and apply them to Pinterest's technology stack.
Leverage large language models (LLMs) to enhance content understanding within the platform.

What we're looking for

2+ years of industry experience applying machine learning methods such as user modeling and recommender systems.
Strong background in building data processing pipelines and large-scale machine learning systems.
Practical knowledge of large scale recommender systems and modern ads ranking technologies.
Degree in computer science, statistics, or a related field; equivalent experience also considered.
Experience with big data technologies like Hadoop/Spark for data processing.
Keep up-to-date with industry trends in recommendation systems and LLMs.

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