A Machine Learning Engineer builds and operates the systems that train, serve and monitor models in production: data and feature pipelines, training infrastructure, evaluation, deployment and the reliability work that keeps a model useful after launch. It is the largest single hiring category in AI, and the one where software engineering and applied research overlap most.
Machine Learning Engineer Jobs in the United States
What is a Machine Learning Engineer?
A Machine Learning Engineer builds and operates the systems that train, serve and monitor models in production: data and feature pipelines, training infrastructure, evaluation, deployment and the reliability work that keeps a model useful after launch. It is the largest single hiring category in AI, and the one where software engineering and applied research overlap most.
Pay, measured on ENTRA: across the Machine Learning Engineer postings in this market that publish a salary, the median advertised band is $200K–$297K a year, with the top decile reaching $445K. Measured 25 September 2026; the figure is recomputed from live postings, not taken from a survey.
What the job actually involves
- Design training and inference pipelines that run at production scale.
- Own model evaluation, monitoring and retraining, not just the first version.
- Optimise latency, throughput and cost of serving.
- Work with research and product to turn a promising model into a shipped feature.
Skills employers ask for
Remote Machine Learning Engineer Jobs
Work on AI from anywhere.
Remote Machine Learning Engineer roles at verified companies.
Work on AI from anywhere.
Remote Machine Learning Engineer roles at verified companies.
Companies hiring Machine Learning Engineers
Employers with the most open Machine Learning Engineer roles here right now. Counts are live and move as companies publish and close postings.
Top-Paying Machine Learning Engineer Jobs
Salary shown up front.
Every ENTRA posting carries a published band — no "competitive".
Salary shown up front.
Every ENTRA posting carries a published band — no "competitive".
Frequently Asked Questions
What does a Machine Learning Engineer do?+
Builds and runs the production systems around models — data and feature pipelines, training infrastructure, serving, evaluation and monitoring — so a model keeps working after it ships.
Machine Learning Engineer vs Data Scientist — what is the difference?+
A data scientist answers questions with data and models; an ML engineer builds the systems that put models into production and keeps them running. The two overlap at modelling and diverge at infrastructure.
Do I need a PhD to be a Machine Learning Engineer?+
For most production ML roles, no. Research scientist positions often ask for one; ML engineering hires on systems and shipping experience.
Which US companies hire the most ML engineers?+
The employers with the most open ML roles on ENTRA appear in the jobs sections on this page, refreshed from their hiring systems daily.
Hiring a Machine Learning Engineer?
Hiring a Machine Learning Engineer?
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