How to become a machine learning engineer
Updated Oct 16, 2026 · from live postings on company job boards
Learn what postings ask for, in order: Python, Evaluation / evals, Agents top the list across 829 open ML engineer roles at AI companies (70% mention Python, 39% PyTorch). Only 54 are internships or new-grad roles, so shipped projects matter.
Skills ML postings ask for most
A five-step learning path
- Programming and data · 78% of postingsPython 70%, Data pipelines 18%
- ML foundations · 38% of postingsStatistics 22%, Computer vision 15%
- Deep learning · 45% of postingsPyTorch 39%, TensorFlow 17%, Transformers 16%
- LLMs and modern ML · 82% of postingsEvaluation / evals 60%, LLMs 45%, Agents 45%
- Production ML · 60% of postingsInference optimization 37%, MLOps 28%, AWS 18%
Each step shows the share of live ML engineer postings that mention at least one of its skills.
FAQ
What skills do you need to become a machine learning engineer?
Based on live postings: Python (70%), Evaluation / evals (60%), Agents (45%), LLMs (45%), PyTorch (39%), Inference optimization (37%), Published research (28%), MLOps (28%).
Do I need a PhD to be an ML engineer?
Usually not: 28% of ML engineer postings mention published research. It matters far more for research scientist roles.
Are there entry-level ML engineer jobs?
Few. 54 of 829 open ML engineer roles we track are internships or new-grad roles; the rest expect experience. Building and shipping projects is the usual way in.
How much do ML engineers make?
The median posted base salary is $244K. See the ML engineer salary guide for levels and companies.