Model Interpretability

Frequently asked questions

• What is Model Interpretability and how common is it in AI job postings?

  Model Interpretability is a skill in the "ML Techniques" category. It currently appears in 168 active AI roles across 61 companies in our index.

• Which companies are hiring for Model Interpretability?

  The top employers with active AI roles mentioning Model Interpretability are: Amazon (21), Google (15), OpenAI (11), JPMorgan Chase (8), Salesforce (7).

• Is demand for Model Interpretability growing?

  Over the last 11 weeks, 120 new AI postings mentioned Model Interpretability. Demand is rising — up 130% in the last four weeks compared to the earliest four weeks in the window.

• At which stage of AI development is Model Interpretability used?

  Roles requiring Model Interpretability are concentrated in: agents (60%), post-training (14%), application (10%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

• What skills are commonly paired with Model Interpretability?

  Job postings that mention Model Interpretability most often also require: Machine Learning, Large Language Models (LLMs), Python, Agentic Systems, Production ML Systems.