Remote machine learning engineer jobs from United States
Browse 71 remote openings across 23 employers with location policies that include United States, an applicable region, or worldwide applicants. Location variants are grouped into openings. Check sponsorship, working hours and the original posting before applying.
Geographic compatibility does not confirm work authorization or immigration eligibility.
Last checked 30/10/2026, 23:18:30 UTC
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71 openings · 78 postingsIncludes postings that explicitly name your country, an applicable region, or worldwide applicants. Geographic compatibility does not confirm work authorization.
- remotePosted within 60 daysChecked
- remotePosting date unknownChecked
- InstacartSenior Machine Learning Engineer, Economist
2 postings · view locations and links
- Canada - Remote (ON, AB, BC, or NS Only) / Remote - United States · View details · Original posting ↗
- United States - Remote / Remote - United States · View details · Original posting ↗
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- hims-and-hersSr. Staff Machine Learning Systems EngineerremoteOlder posting · still listedChecked
- AffirmUnderwriting/Credit Model Risk Senior Manager - Machine Learning
2 postings · view locations and links
- Remote Canada / Remote US · View details · Original posting ↗
- Remote US / Remote Canada · View details · Original posting ↗
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- remoteOlder posting · still listedChecked
Companies with compatible location policies
Working-hour requirements in source postings
- Staff Machine Learning Engineer, Ads Forecasting & Scenarios at Reddit: Reach and audience estimation: Population and overlap estimation, probabilistic reach/frequency models, sampling correction, or saturation modeling.
- Senior AI Engineer at futurefitai: We are open to candidates living anywhere in either country, with at least 5 to 6 hours of daily overlap with our EST-based team required.
- Sr AI Engineer - Data at meridianlink: exact framework overlap is not required.
- Sr AI Engineer - Product at meridianlink: exact tool overlap matters less than strong product engineering fundamentals.
- Senior Machine Learning Engineer, Ads Forecasting & Scenarios at Reddit: Reach and audience estimation: Population and overlap estimation, reach/frequency models, sampling correction, or saturation modeling.
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