Senior Machine Learning Engineer, Core Engineering

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Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $229k

This role $261k

$161k $350k

below market most similar roles pay here above market

This role pays more than 88% of similar roles. Most pay $202,800–$254,750 — the blue band above. At the midpoint, this role pays about $261k 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 76 open roles on FindRole.

Listed pay typically runs $177,185–$339,078 across 70 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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The Sr. Machine Learning Engineer, Core Engineering joins the machine learning team to build cutting-edge technology using deep learning and machine learning to personalize the platform. The role involves partnering with various teams to experiment with and improve models for product surfaces including Homefeed, Ads, Growth, Shopping, and Search. Key responsibilities include using data-driven methods to improve candidate retrieval and developing large-scale machine learning systems. The candidate must possess experience in user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning. Required technical skills include building data processing pipelines using big data technologies like Hadoop and Spark. The work focuses on solving complex recommendation system problems and processing stream data within a high-impact, fast-paced product environment.

What does a Machine Learning Engineer earn in California?

Median $235750 from 200 postings across 34 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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