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Pinterest

Staff Machine Learning Engineer, Ads Conversion Core Modeling

Pinterest · San Francisco, CA, US; Palo Alto, CA, US; Seattle, WA, US

Posted about 2 months ago

or apply directly on Pinterest's site. We never take the application ourselves.

Is this posting real?

This role has been open
66 days
Pinterest's roles stay open a median of 66 days
Reposted
No
Salary listed
No
0% of Pinterest's roles list one
Ghost-job risk at Pinterest
high
160 stale, 10 reposted of 190 open
Hiring momentum
330 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-08

Measured from postings appearing on and disappearing from Pinterest's own greenhouse board since 2026-08-03. Full hiring picture for Pinterest.

About this role

As a Staff Machine Learning Engineer at Pinterest, you will lead the technical vision for the Ads Conversion Core Modeling team, focusing on developing advanced machine learning systems that enhance user action prediction. Your responsibilities will include designing large-scale deep neural network models, utilizing AI for analysis and iteration, and automating processes to improve efficiency. Additionally, you will mentor engineers and collaborate with product and sales teams to innovate new ad products.

Our read on this posting2.0out of 5
benefits
1/5
freshness
1/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Pinterest as an employer.

What you need

  • Bachelor's degree in Computer Science, Statistics, or a related field
  • 6+ years of industry experience building production ML systems at scale (Search, Recommendations, or Ranking)
  • 2+ years of experience leading technical projects or teams
  • Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs
  • Strong mathematical foundation and experience with statistical methods and A/B testing

Nice to have

  • Experience with Cursor, Copilot, Codex, or similar AI coding assistants for development, debugging, testing, and refactoring
  • Familiarity with LLM-powered productivity tools for documentation search, experiment analysis, SQL/data exploration, and engineering workflow acceleration
  • High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final deliverables

What you get

  • Base salary range of $222,716 — $389,753 USD
  • Eligible for equity

Worth weighing

  • In-office requirement of 1-2 times per month, necessitating commutable distance to San Francisco, Palo Alto, or Seattle
  • No relocation assistance offered
  • Final salary based on various factors, including location and experience, which may affect total compensation

Summarised from Pinterest's posting. Read the full original.

Listed by Pinterest on their greenhouse job board, last confirmed open on 2026-10-08. PitchMeAI is not the employer.

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