Job brief: Staff Machine Learning Engineer

What JoRoute checked · Checked by JoRoute

• Listed on Pinterest's own job board. JoRoute does not take listings from job ads or recruiters.
• First seen by JoRoute 2026-11-04 (2 days ago); last confirmed on the board 2026-11-06.
• The apply link opens pinterestcareers.com, the address Pinterest's board gives for this job.
• No other listing with this title and place on this board in the last 90 days.
• No layoff notices (WARN) under this name in the state files JoRoute reads.

What the listing says · Employer's own words, not checked

• Pay: $227,871 to $469,147 a year
• Job type: Not stated
• Where: Remote · San Francisco, CA, US; Remote, US · San Francisco
• Posted: 2026-10-14

What the job asks · Employer's own words, not checked

Level: Lead / staff. The title says "Staff".

Must have

• Minimum 6 years of relevant industry experience
• In-Office Requirement Statement:
• By submitting this application, I certify that all information submitted in my application and throughout the hiring process is true, accurate, and complete to the best of my know…

Conditions

• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
• Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Main duties

• Contribute to cutting-edge AI/ML research that can be applied to Pinterest challenges across Ads, Discovery, Growth, and Search.
• Own long-term research strategy and plans to expand the impact of Applied Science.

Lines copied from the posting, not rewritten. "Preferred" or "nice to have" items are not listed as must-haves.

How it compares · Compared by JoRoute from listings

• Typical listed pay for engineer jobs in San Francisco, CA: $193k a year (679 listings, 42 employers). This listing is 81% higher.
• Across Pinterest's 134 open listings, 28% of those with a posting date were first posted more than 60 days ago. How Pinterest hires

What nobody outside the employer knows · Not known

• Whether the role is already filled or on hold: employers often leave listings up.
• How many people applied, and who reads the applications.
• Where in the published range an offer would land.

Ask before you apply

1. Is the role fully remote, and from which states can I work?
2. What are the interview steps, and when should I expect to hear back?

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Next steps

Apply on the employer's page Full listingDoes my CV fit?Practise the interviewShould I apply?

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