51 AI roles tagged interpretability.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Meta | Postdoctoral Researcher (PhD) - FAIR - Core Learning | Big Tech | 10 | Frontier research · Pretraining · Fine-tuning |
| Apple | AIML - Machine Learning Researcher, MLR | Big Tech | 10 | Frontier research · Pretraining · Multimodal |
| Research Scientist, Frontier AI, Google DeepMind | Big Tech | 10 | Frontier research · Multimodal · Vision · Evals · Fine-tuning | |
| Research Scientist, Mechanistic Interpretability, Special Projects | Big Tech | 10 | LLM observability · Evals · Multimodal | |
| Senior Staff Software Engineer, Cognitive Architecture, Special Projects | Big Tech | 10 | Agent orchestration · Agent research · Audio & speech · RL robotics · Model serving · Evals | |
| Meta | Fundamental AI Researcher - FAIR | Big Tech | 10 | Frontier research · Multimodal · Pretraining |
| Meta | Postdoctoral Researcher, Fundamental AI Research (PhD) | Big Tech | 10 | Frontier research |
| Microsoft | Senior Researcher - Artificial Intelligence and Machine Learning - Microsoft Research | Big Tech | 10 | Frontier research · Pretraining · Evals |
| Apple | AIML - Machine Learning Researcher - MLR | Big Tech | 9 | Frontier research · Pretraining · Model serving |
| Meta | Research Scientist, HW/SW Co-Design (PhD) | Big Tech | 9 | Inference infra · Model serving · Frontier research · Code gen · Agent research |
| ByteDance | Research Scientist - Seed Responsible AI | Big Tech | 9 | Agent research · Frontier research · Guardrails · RL post-training · Fine-tuning |
| Apple | Machine Learning Engineer — Camera & Photos, Creative Foundations | Big Tech | 9 | Vision · Multimodal · Fine-tuning · Model serving · Frontier research |
| Research Scientist, Language, DeepMind | Big Tech | 9 | Frontier research · Pretraining · Fine-tuning · Model serving · Evals | |
| Amazon | Sr. Applied Scientist, Amazon Robotics | Big Tech | 9 | Agent research · Frontier research · RL robotics · Embodied AI · Fine-tuning |
| Amazon | Applied Scientist | Big Tech | 9 | Agent orchestration · Multimodal · Vision · Inference infra · Model serving · Frontier research |
| Meta | Data Scientist, Evaluations - Meta Superintelligence Labs | Big Tech | 9 | Evals · LLM observability · Frontier research · RL post-training · Agent orchestration |
| Microsoft | Technical Advisor, Microsoft Superintelligence (Office of the CEO) | Big Tech | 9 | Pretraining · RL post-training · Multimodal · Inference infra · Model serving · Evals · Frontier research |
| Meta | AI Research Scientist - Safety Alignment Team | Big Tech | 9 | RL post-training · Reward modeling · Fine-tuning · Multimodal · LLM observability · Evals · Guardrails · Frontier research · Audio & speech · Vision |
| Apple | AIML - Senior ML Researcher in Foundation Models, Responsible AI | Big Tech | 9 | Frontier research · Guardrails · Fine-tuning · RL post-training |
| Microsoft | Research Intern - Deep Learning Group | Big Tech | 9 | Frontier research · Pretraining · Multimodal · LLM observability |
| Apple | AIML - Machine Learning Research Scientist, Data and ML Innovation | Big Tech | 9 | Frontier research · Pretraining |
| Microsoft | Research Intern - Microsoft Research Special Projects | Big Tech | 9 | LLM observability · RAG · Agent research |
| Meta | Research Scientist Intern PhD, Applied Research | Big Tech | 9 | Frontier research · Audio & speech |
| Microsoft | Research Intern - Fundamentals of AI: Security, Agents, Systems & Control | Big Tech | 9 | Frontier research · Evals · Agent orchestration · Guardrails · Multimodal · RL post-training |
| Microsoft | Research Intern - Machine Learning at MSR NYC | Big Tech | 9 | RL post-training · Frontier research |
| Meta | Research Scientist Intern, AI Alignment | Big Tech | 9 | Frontier research · RL post-training |
| ByteDance | Senior Software Engineer - AI for Security, Data/Application | Big Tech | 9 | Evals · RAG · LLM observability |
| ByteDance | Research Scientist in Large Language Model (LLM)-Seed | Big Tech | 9 | Pretraining · Fine-tuning · RL post-training · Code gen |
| Meta | Research Scientist Intern, Audio Quality with AI (PhD) | Big Tech | 8 | Audio & speech · Fine-tuning · Multimodal · Evals |
| Apple | AIML - ML Engineer, Responsible AI | Big Tech | 8 | Evals · LLM observability · Guardrails · Fine-tuning · Model serving |
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.
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).