Machine Learning Engineer, Core Engineering

Pinterest · AI/ML

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Full Time$138,905–$285,982 USDPosted Sep 3, 2026

Source: Pinterest

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Limited to: US — no hybrid days in this listing.

Not open from Hungary

This role’s source listing does not include Hungary as an eligible location.

Category
AI/ML
Employment type
Full Time
Experience level
Mid
Job salary
$138,905–$285,982 USD

How this role compares to the AI/ML market

Across all remote AI/ML roles on RemoteJobSearch. Refreshed every 30 minutes.

Pay, compared

60 of 251 AI/ML roles publish a salary

This role pays 1% more than a typical remote AI/ML role.

This role$212,444 / year
Typical AI/ML role$211,222 / year

Median of published salaries. Full reported spread in this market: $75,000–$351,000, outliers included.

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Original employer: PinterestSource ATS: PinterestLast checked: Sep 5, 2026Job status: Active

Pinterest is looking for an ML Engineer to build large-scale recommendation systems, open to candidates based in the US.

As a member of the Core Engineering team, you will leverage deep learning techniques to personalize the Pinterest experience for over 500 million users. The role involves close collaboration with various product surfaces including Ads, Shopping, and Search to drive high-impact experimentation and model development in a data-rich environment.

Why You’ll Love This Role

US remote-friendly role
Base salary range $138,905–$285,982 USD
Eligible for equity
Focus on large-scale recommendation systems
Mid-level engineering position

What You’ll Bring

2+ Years of industry experience applying machine learning methods
Experience with user modeling, personalization, or recommender systems
End-to-end hands-on experience with data processing pipelines and large scale ML systems
Proficiency with big data technologies such as Hadoop or Spark
Bachelor’s degree in computer science, machine learning, statistics, or a related field

What You’ll Get

Benefits not specified in the listing

About the Company

Pinterest is a global visual discovery engine where people find inspiration for their lives. The company employs over 3,000 people worldwide and focuses on leveraging AI to create personalized recommendations at scale.

Listing checked for remote eligibility · Posted Sep 3, 2026 · PinterestApply
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