Data Science
Scientific Machine Learning Engineer
Builds machine learning systems for scientific applications — from research prototypes to production scientific software.
A Scientific Machine Learning Engineer builds ML systems that solve scientific problems — from research prototypes to production systems used by scientific communities.
What does a Scientific Machine Learning Engineer do?
A Scientific Machine Learning Engineer applies computational methods to solve scientific problems. Typical work includes:
- Building ML models for scientific simulation
- Deploying scientific ML systems
- Integrating ML with numerical simulation
Required skills
Preferred skills
Tools used
PythonPyTorchJAXscikit-learnNumPy
Career progression
1ML Engineer (Scientific)
2Scientific ML Engineer
3Senior Scientific ML Engineer
4Scientific ML Lead