Machine Learning Engineer AI Displacement Score: 6/10

Key Finding

Machine Learning Engineer face high ai exposure AI displacement risk, scoring 6/10 on the JobHunter AI Displacement Index (global average: 5.7/10). There are approximately 190,500 workers in this role in the US, earning a median of $140,000.

Source: JobHunter AI Displacement Index - 342 occupations analyzed using Karpathy's research framework

What does 6/10 mean?

0 - AI-proof Global avg: 5.7 10 - Fully exposed

Machine Learning Engineer scored 6/10 across 342 occupations analyzed using Karpathy's AI displacement research framework. The global average is 5.7/10. This role is near the global average.

Computer & Information Technology - All Scores

Computer and information research scientists 9/10

Computer programmers 9/10

Database administrators and architects 9/10

Software developers, quality assurance analysts, and testers 9/10

Web developers and digital designers 9/10

Computer network architects 8/10

Computer support specialists 8/10

Computer systems analysts 8/10

Frequently Asked Questions

Will AI replace machine learning engineer?

Machine Learning Engineer scored 6/10 on AI displacement risk (global average: 5.7). This means high ai exposure risk of significant AI disruption. Rather than full replacement, most roles at this level see task automation - certain parts of the job get absorbed by AI while new responsibilities emerge.

What is the AI displacement score for machine learning engineer?

The AI displacement score for Machine Learning Engineer is 6 out of 10, based on analysis of 342 occupations using Karpathy's research framework. The global average is 5.7/10. Similar roles score: DevOps Engineer (6/10), Site Reliability Engineer (SRE) (6/10), Cloud Engineer (6/10).

How many machine learning engineer are there in the US?

There are approximately 190,500 machine learning engineer in the United States, with a median pay of $140,000 and a projected job outlook of +35%.

What should machine learning engineer do about AI?

With a score of 6/10, machine learning engineer should focus on skills AI can't easily replicate: complex judgment, relationship building, creative problem-solving, and physical-world interaction. Learning to use AI tools as leverage (not competition) is the highest-ROI move.

What AI can already do in this role