What Does a Machine Learning Engineer Do?
A machine learning engineer designs, trains and — crucially — ships ML models into production. They sit between data science and software engineering: turning a promising model into a reliable, scalable service with monitoring, retraining and sensible latency.
Demand has surged with the rise of AI products. The role requires both modelling knowledge and solid software engineering to make models actually work in the real world.
Key skills
- Python & ML libraries (PyTorch, TensorFlow)
- Model training & evaluation
- MLOps & deployment
- Data pipelines
- Software engineering fundamentals
- Cloud infrastructure
Remote Machine Learning Engineer salary
A remote Machine Learning Engineer typically earns $110k – $200k per year (USD base salary). The range runs roughly from junior to senior — where you land depends on experience, region, and whether the employer pays by location or uses global pay.
For how remote pay is actually set, and how to negotiate it, read our remote salary guide and offer-negotiation guide.
Open remote Machine Learning Engineer jobs
No Machine Learning Engineer roles are open right now. Check the Machine Learning Engineer jobs page or browse all remote jobs — new roles are posted daily.