Machine Learning Engineer, Monetization Engineering

Pinterest

Quick summary

Work type
On-site
Location
San Francisco, CAPalo Alto, CASeattle, WA
Salary
$163,418–$285,982 / yr
Posted
7 days ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $224k
This role $225k
$149k most similar roles pay here $301k

This role pays more than 57% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $225k 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 · Machine Learning Engineer, Monetization Engineering

Apply Now Log in to save

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 responsibilities include building cutting-edge deep learning models to personalize user experiences across various product surfaces like Homefeed, Ads, Growth, Shopping, and Search. You’ll collaborate closely with cross-functional teams to experiment and improve ML models while leveraging data-driven methods to enhance content understanding using LLMs. This role requires hands-on experience in building large-scale machine learning systems and data processing pipelines, as well as expertise in recommendation systems and computational advertising.

Skills

Python Java Scala R TensorFlow PyTorch Kafka Hadoop Spark PostgreSQL Redis CI/CD Docker Kubernetes AWS LLMs NLP Recommender Systems Big Data Technologies

What you'll do

  • Build cutting-edge technology using deep learning and machine learning to personalize Pinterest.
  • Experiment and improve ML models for product surfaces like Homefeed, Ads, Growth, Shopping, and Search.
  • Use data-driven methods to enhance candidate retrieval in recommendation systems.
  • Stay updated with industry trends in recommendation systems and apply them.
  • Leverage LLMs to improve content understanding within the platform.

What we're looking for

  • At least 2 years of industry experience applying machine learning methods such as user modeling and recommender systems.
  • Hands-on experience building data processing pipelines and large-scale machine learning systems using big data technologies like Hadoop/Spark.
  • Expertise in developing and improving large scale recommender systems or modern ads ranking, retrieval, and targeting systems.
  • Strong understanding of industry trends in recommendation systems and ability to leverage LLMs for content understanding.
  • Proven track record of working in a high-impact environment with quick experimentation and product launches.

Related searches

More Machine Learning Engineer jobs Machine Learning Engineer jobs in San Francisco All jobs at Pinterest

More like this

Similar roles

Machine Learning Engineer, Marketplace Optimization

DoorDash, Inc

San Francisco, CA +1 18 days ago $137,100–$201,600
Python TensorFlow PyTorch XGBoost Java C++ Kubernetes Docker CI/CD AWS PostgreSQL Auction Systems Forecasting Budget Optimization Experimentation Science ML Frameworks Data Pipelines Machine Learning Infrastructure Large-Scale Data Processing
Save

Staff Machine Learning Engineer, Consumer

Reddit

Remote (US) 16 days ago $230,000–$322,000
Python TensorFlow PyTorch Hugging Face Transformers Kafka Spark Airflow BigQuery Redis Docker CI/CD LLM GenAI RAG PostgreSQL Prometheus Grafana Kubernetes AWS Azure MLOps
Remote
Save