Sr. Machine Learning Engineer, Core Engineering

Quick summary

Work type: On-site
Location: San Francisco, CAPalo Alto, CASeattle, WA
Salary: $189,721–$332,012 / yr
Posted: 13 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $222k

This role $261k

$157k most similar roles pay here $351k

This role pays more than 83% of similar roles. Most pay $195,000–$249,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $222k 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 · Sr. Machine Learning Engineer, Core Engineering

Apply Now Log in to save

As a Senior Machine Learning Engineer at Pinterest, you will join a dynamic team focused on enhancing personalized experiences for over 500 million users. Your role involves building advanced technology using deep learning and machine learning to personalize the platform 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 systems. The ideal candidate has 4+ years of industry experience in applying machine learning techniques like user modeling, personalization, recommender systems, search, ranking, NLP, reinforcement learning, and graph representation learning. You should also have hands-on experience with building large-scale data processing pipelines and big data technologies such as Hadoop/Spark, along with a degree in computer science, machine learning, statistics, or related fields.

Skills

Python Spark Hadoop TensorFlow PyTorch Kafka Storm CI/CD Docker AWS Azure Google Cloud Platform PostgreSQL MySQL MongoDB Redis Scikit-learn Pandas Numpy Jupyter Notebook Git GitHub

What you'll do

Build personalized experiences using deep learning and machine learning.
Improve ML models for Homefeed, Ads, Growth, Shopping, and Search products.
Enhance candidate retrieval through data-driven methods and unique data properties.
Experiment and launch new features in a high-impact environment with quick iterations.
Stay updated on industry trends in recommendation systems.

What we're looking for

4+ years of industry experience in machine learning methods such as user modeling and recommender systems.
Hands-on experience building data processing pipelines and large-scale ML systems using big data technologies like Hadoop/Spark.
Degree in computer science, machine learning, statistics, or a related field.
Expertise in scalable real-time systems that process stream data (preferred).
Passion for applied machine learning and the Pinterest product (desired).
MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, or equivalent experience.