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Remote Machine Learning Engineer Jobs: Role, Salary & Demand
A machine learning engineer builds, deploys, and maintains ML systems in production — bridging data science and software engineering to turn models into reliable, scalable services. Demand has climbed sharply with the AI wave, and the role is highly remote-friendly.
2 Live Listings
1 A/B Grade
2 Companies
$130k–$230k Typical Base (US)
What a Remote Machine Learning Engineer Does
- Build and productionize ML models and inference services
- Design data and feature pipelines for training and serving
- Own MLOps: deployment, monitoring, retraining, and versioning
- Optimize model latency, cost, and reliability at scale
- Collaborate with data scientists and backend engineers
Skills Employers Look For
Python & ML frameworks (PyTorch/TensorFlow)Software engineering fundamentalsMLOps & deploymentData pipelinesCloud (AWS/GCP/Azure)Model evaluation
Remote Machine Learning Engineer Salary
Senior remote machine learning engineer roles typically pay $130k–$230k base per year in the US market. Senior remote US-market base ranges. LLM/GenAI and staff-level ML roles trend meaningfully higher, often with significant equity.
Ranges are widely-reported US-market figures for senior levels, shown as market context. Live listing counts above are computed from remoty.work's own database.
Remote Demand for Machine Learning Engineers
Machine learning engineering is one of the fastest-growing remote categories, driven by GenAI adoption. Remote-first AI companies actively hire ML engineers across timezones.
Right now remoty.work tracks 2 live remote machine learning engineer listings from 2 companies. Every one is scored A–F by our intelligence engine and screened for ghost jobs .
Top-Scored Live Machine Learning Engineer Jobs
View all 2 →Frequently Asked Questions
Are remote machine learning engineer jobs in demand?
Yes — ML engineering is among the fastest-growing remote tech categories, accelerated by generative AI adoption across the industry.
How much do remote ML engineers make?
Senior remote ML engineering roles in the US market typically pay $130k to $230k base, with LLM/GenAI and staff-level roles higher, often plus significant equity.
What is the difference between an ML engineer and a data scientist?
ML engineers focus on building and deploying production ML systems (the engineering and MLOps); data scientists focus on analysis, experimentation, and model development. ML engineering is more software- and infrastructure-heavy.
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