Recent salaries shared by Machine Learning Engineer at Peloton Interactive
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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Peloton Interactive pay FAQs
- The average salary for Machine Learning Engineer is $163,286 per year (estimate) in US, which is 17% lower than the average Peloton Interactive salary of $195,970 per year (estimate) for this job.
- Peloton Interactive employees working as Machine Learning Engineer in US have attributed a compensation and benefits rating of 4 out of 5 stars, based on 3 ratings. This is in line with the average of Machine Learning Engineer professionals at Peloton Interactive worldwide.
- The salary trajectory of a Machine Learning Engineer ranges between locations and employers. The salary starts at $122,530 per year (estimate) and goes up to $324,130 per year (estimate) for the highest level of seniority.
- The estimated average salary for a Machine Learning Engineer at Peloton Interactive is $163,286 per year or $79 per hour, but some professionals have reported earning up to roughly $251,713 per year (90th percentile). The typical pay range is between $131,268 (25th percentile) and $205,740 (75th percentile) annually. This is based on 10 salaries submitted by Peloton Interactive Machine Learning Engineer professionals on Glassdoor, as of Jul 2026.
- Machine Learning Engineer professionals typically earn between $63 and $99 per hour.
- Machine Learning Engineer professionals typically earn between $10,939 and $17,145 monthly.
