Mechanistic analysis of how neural networks compute — circuit tracing, attribution, behavior decomposition. The research field underpinning safety arguments about model internals.
Primary AI lifecycle stage: evaluation.
As of today, 82 active AI roles across 31 companies in our index reference Interpretability. Hiring concentrates at the post-training (51%) and agents (17%) stages. Most common sectors: Big Tech, AI Frontier, Banking. New postings fell 27% in the last 30 days versus the prior 30 (30 → 22).
Mechanistic analysis of how neural networks compute — circuit tracing, attribution, behavior decomposition. The research field underpinning safety arguments about model internals. Primary AI lifecycle stage: evaluation.
82 active AI roles across 31 companies in our index reference Interpretability as of today. New postings fell 27% in the last 30 days versus the prior 30 (30 → 22).
The companies with the most active Interpretability listings are: Microsoft (9 roles), OpenAI (8 roles), Amazon (7 roles), Meta (7 roles), Anthropic (6 roles).
Interpretability primarily belongs to the evaluation stage of the AI lifecycle. In current hiring, Interpretability roles concentrate at: post-training (51%), agents (17%).
The sectors with the most active Interpretability hiring are: Big Tech, AI Frontier, Banking.
3 AI roles tagged interpretability.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Verizon | Director of Digital Customer Experience & AI Innovation | Telecom | 7 | LLM observability · Agent orchestration · Guardrails · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI |
| AT&T | Senior Full Stack/AI Engineer | Telecom | 5 | LLM observability · Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Multimodal · Audio & speech · Frontier research · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI · Code gen |
| AT&T | Full-Stack Software Engineer | Telecom | 5 | Agent orchestration · Tool use · LLM observability · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Vision · Multimodal · Audio & speech · Frontier research · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI · Code gen |