PaidJob

Staff Machine Learning Engineer, Homefeed

PinterestUnited StatesDeadline: Rolling Deadline

Staff Machine Learning Engineer, Homefeed at Pinterest is a job role in San Francisco, CA, USA, with a reported salary range of $189,308–$389,753 per yr. This listing points to the employer's own careers page. Applications are handled directly by the employer, not by GoOpportunities.

About the opportunity

Role overview

This is a job Staff Machine Learning Engineer, Homefeed opening at Pinterest based in San Francisco, CA, USA. The details below are assembled from the factual fields recorded when the listing was discovered; GoOpportunities does not reproduce the employer's own description text. Always confirm the current role scope, compensation, and requirements on the employer's application page.

Listing facts

  • Company: Pinterest
  • Role: Staff Machine Learning Engineer, Homefeed
  • Workplace: Job
  • Location: San Francisco, CA, USA
  • Remote: No
  • Salary range: $189,308–$389,753 per yr

Eligibility criteria

Formal eligibility (education, years of experience, and work-permit or sponsorship status) is set by the employer and is not published in the structured data we captured. Review the full criteria on the employer's application page before you apply.

Benefits & funding

Reported compensation for this role: $189,308–$389,753 per yr. Additional benefits are defined by the employer on the posting.

Salary context

Across 78 data science and machine learning listings with a published salary (per year) that GoOpportunities has captured, the median pay is $200,250, and the middle half of them fall between $177,000 and $233,112. This listing's pay is about 45% above that median.

Based only on listings in our own database that state a salary in USD; pay varies by location, seniority and employer.

Requirements

Application materials for roles like this typically include an up-to-date CV/resume. The exact documents and assessments required are published by the employer on the posting.

How to apply

  1. Confirm the Staff Machine Learning Engineer, Homefeed role and its requirements on the employer's application page.
  2. Prepare an up-to-date CV/resume tailored to the role.
  3. Apply through the employer's own careers portal using the button on this page.
  4. Track your application status on the employer's careers site or applicant portal.

Frequently asked questions

What is the Staff Machine Learning Engineer, Homefeed role at Pinterest?

Staff Machine Learning Engineer, Homefeed is a job position at Pinterest, San Francisco, CA, USA. Reported salary range: $189,308–$389,753 per yr. Full role details are published by the employer on the application page.

Where is the Staff Machine Learning Engineer, Homefeed position located?

The listing places this Staff Machine Learning Engineer, Homefeed role at Pinterest in San Francisco, CA, USA.

Is the Staff Machine Learning Engineer, Homefeed role at Pinterest paid?

The captured listing reports a salary of $189,308–$389,753 per yr.

Can I work remotely as a Staff Machine Learning Engineer, Homefeed at Pinterest?

The listing is not marked as remote, so on-site or hybrid attendance in San Francisco, CA, USA should be expected. Confirm the workplace policy with the employer.

What type of employment is the Staff Machine Learning Engineer, Homefeed role?

The employment type is not stated in the captured listing; check the posting.

What qualifications do I need for the Staff Machine Learning Engineer, Homefeed role?

Required qualifications are set by the employer and were not published in the structured data we captured. Review them on the application page.

When was the Staff Machine Learning Engineer, Homefeed role at Pinterest posted?

The source board recorded this listing as posted on 2026-11-02. Roles can fill quickly, so apply early.

How do I apply for the Staff Machine Learning Engineer, Homefeed role?

Use the button on this page to open Pinterest's own careers portal and submit your application there. GoOpportunities is a discovery platform and does not process applications.

Important: This information is sourced from official institutions and verified at the time of publication. Deadlines, requirements, and funding details may change — always verify the latest information on the official website before applying. GoOpportunities is a discovery platform and is not involved in the application or selection process.