Senior Machine Learning Engineer, Core Engineering

Confirmed live 2 days ago Trusted

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAPalo Alto, CASeattle, WA
Salary: $189,721–$332,012 / yr
Posted: 7 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $225k

This role $261k

$166k most similar roles pay here $350k

This role pays more than 84% of similar roles. Most pay $195,150–$254,750 — the shaded band above. At the midpoint, this role pays about $261k versus about $225k 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 82 open roles on FindRole.

Listed pay typically runs $164,695–$337,990 across 82 roles with salary data.

Most-posted roles

View all roles at Pinterest

At a glance

TL;DR · Senior Machine Learning Engineer, Core Engineering

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As a Sr. Machine Learning Engineer, Core Engineering, you will join the team to build cutting-edge technology using deep learning and machine learning to personalize the platform. You will partner with cross-functional teams to experiment with and improve models for various product surfaces including Homefeed, Ads, Growth, Shopping, and Search. Your daily work involves utilizing data-driven methods to improve candidate retrieval while staying current on recommendation systems trends. The role requires expertise in user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning. You will build data processing pipelines and large-scale machine learning systems using big data technologies like Hadoop and Spark. The work focuses on solving complex problems in personalized experiences by leveraging unique data properties to enhance discovery and engagement across the platform's core features.

What does a Machine Learning Engineer earn in California?

Median $246394 from 172 postings across 28 companies.

See salary data

Skills

Machine Learning Deep Learning Recommendation Systems Natural Language Processing Reinforcement Learning Graph Representation Learning Hadoop Spark SQL Big Data realtime systems LLM Copilot Codex Cursor

What you'll do

Build cutting-edge technology using deep learning and machine learning to personalize the Pinterest experience.
Partner with cross-functional teams to experiment with and improve ML models for Homefeed, Ads, Growth, Shopping, and Search.
Use data-driven methods and unique data properties to improve candidate retrieval systems.
Develop and maintain end-to-end data processing pipelines and large-scale machine learning systems.
Utilize big data technologies like Hadoop and Spark to manage large-scale infrastructure.
Execute rapid experimentation and product launches in a high-impact environment.
Monitor and integrate current industry trends in recommendation systems into the product.

What we're looking for

Degree in computer science, machine learning, statistics, or a related field.
MS or PhD in computer science, machine learning, NLP, statistics, information sciences, or equivalent experience.
4+ years of industry experience applying machine learning methods such as user modeling, personalization, and recommender systems.
End-to-end hands-on experience building data processing pipelines and large-scale machine learning systems.
Experience with big data technologies like Hadoop or Spark.
Expertise in scalable real-time systems that process stream data.
Experience using AI coding assistants such as Cursor, Copilot, or Codex for development and testing.
Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, and engineering workflow.

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