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Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States)

Yelp Inc - San Francisco, California, United States

Posted Mar 11, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified checked Jun 13, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Staff Plus From the posting source checked Jun 20, 2026
Work mode
Remote From the posting source checked Jun 20, 2026
In-office days
0 days From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Company stage
Public-company From the posting source checked Jun 20, 2026
Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Staff Machine Learning Engineer - Content and Contributor Intelligence (Remote - United States) San Francisco, California, United States Exciting opportunity for a Staff Machine Learning Engineer to drive innovation in content and contributor intelligence at Yelp. Leverage LLMs, neural networks, and advanced ML frameworks to build scalable solutions for millions of users. Mentor junior engineers and shape the future of AI-driven content systems in a collaborative, remote environment.

Read the full description at uscareers-yelp.icims.com. FewerJobs shows a preview and links to the original posting.

Apply at uscareers-yelp.icims.com

Apply link not verified; last-live date unavailable.

What verified means

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