Recent salaries shared by Machine Learning Engineer at Snap
Job Title | Years of Experience
Total Pay
Base • Additional pay
Location
Date submitted
Job Title | Years of Experience
Location
Date submitted
Total Pay
Base • Additional pay
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Snap pay FAQs
- The average salary for Machine Learning Engineer is $162,370 per year (estimate) in US, which is 33% lower than the average Snap salary of $241,471 per year (estimate) for this job.
- Snap employees working as Machine Learning Engineer in US have attributed a compensation and benefits rating of 3.7 out of 5 stars, based on 13 ratings. This is in line with the average of Machine Learning Engineer professionals at Snap worldwide.
- The salary trajectory of a Machine Learning Engineer ranges between locations and employers. The salary starts at $122,005 per year (estimate) and goes up to $321,715 per year (estimate) for the highest level of seniority.
- The estimated average salary for a Machine Learning Engineer at Snap is $162,370 per year or $78 per hour, but some professionals have reported earning up to roughly $250,334 per year (90th percentile). The typical pay range is between $130,522 (25th percentile) and $204,600 (75th percentile) annually. This is based on 115 salaries submitted by Snap Machine Learning Engineer professionals on Glassdoor, as of Jun 2026.
- Machine Learning Engineer professionals typically earn between $63 and $98 per hour.
- Machine Learning Engineer professionals typically earn between $10,877 and $17,050 monthly.
