33 AI roles tagged frontier_research.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Capital One | Applied Researcher II, AI Foundations | Banking | 9 | Fine-tuning · Interpretability · RLHF · Vector DB |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | Fine-tuning · RL post-training · Vector DB |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Pretraining · Fine-tuning · RL post-training · Agent research · Agent orchestration · Vector DB · Model serving · Recommender systems · Multimodal |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | Fine-tuning · RL post-training · Pretraining · Vector DB |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | Fine-tuning · RL post-training · Vector DB |
| Capital One | Senior Director, Applied Research | Banking | 9 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Fine-tuning · Pretraining · RL post-training · Vector DB · Model serving |
| Capital One | Applied Researcher I (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Fine-tuning · RL post-training · Vector DB · Model serving |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | Fine-tuning · RL post-training · Vector DB |
| Capital One | Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) | Banking | 9 | Fine-tuning · RL post-training · Vector DB |
| Capital One | Applied Researcher I | Banking | 9 | Fine-tuning · RL post-training · Pretraining · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 9 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher I (AI Foundations) | Banking | 9 | Pretraining · Fine-tuning · Vector DB · RLHF |
| Capital One | Distinguished Applied Researcher | Banking | 9 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher II | Banking | 9 | Fine-tuning · Vector DB · Pretraining · RLHF |
| Capital One | Applied Researcher I (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Pretraining · Fine-tuning · Agent research · Vector DB |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 9 | Fine-tuning · Inference infra · Model serving · Pretraining · RL post-training · Vector DB |
| JPMorgan Chase | Applied AI ML Lead Researcher - Commercial and Investment Bank | Banking | 9 | Agent orchestration · Agent research · Model serving · Inference infra |
| JPMorgan Chase | Applied AI/ML Director Researcher | Banking | 9 | Agent orchestration · Agent research · Model serving · Inference infra |
| Capital One | Sr. Distinguished Applied Researcher | Banking | 9 | Pretraining · Fine-tuning · Inference infra · Model serving · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Pretraining · Fine-tuning · Interpretability · RL post-training · Vector DB · Model serving |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Vector DB · RLHF |
| Capital One | Applied Researcher II (AI Foundations, LLM Core and Agentic AI) | Banking | 8 | Fine-tuning · Vector DB · LLM observability · Model serving · Pretraining · RL post-training |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Interpretability · RLHF · Vector DB · Recommender systems · Model serving |
| Capital One | Applied Researcher II (AI Foundations) | Banking | 8 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Pretraining · RL post-training · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Pretraining · Fine-tuning · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Vector DB |
| Capital One | Applied Researcher I | Banking | 8 | Fine-tuning · Pretraining · RL post-training · Vector DB |
Research on the largest, most capable foundation models — typically pre-release, large-scale, and exploratory; the work that defines next-generation model behavior.
Primary AI lifecycle stage: pre-training.
As of today, 390 active AI roles across 71 companies in our index reference Frontier research. Hiring concentrates at the pre-training (40%) and post-training (34%) stages. Most common sectors: Big Tech, AI Frontier, Semiconductors. New postings fell 29% in the last 30 days versus the prior 30 (112 → 80).
Research on the largest, most capable foundation models — typically pre-release, large-scale, and exploratory; the work that defines next-generation model behavior. Primary AI lifecycle stage: pre-training.
390 active AI roles across 71 companies in our index reference Frontier research as of today. New postings fell 29% in the last 30 days versus the prior 30 (112 → 80).
The companies with the most active Frontier research listings are: Amazon (44 roles), Meta (39 roles), NVIDIA (34 roles), Microsoft (32 roles), Google (28 roles).
Frontier research primarily belongs to the pre-training stage of the AI lifecycle. In current hiring, Frontier research roles concentrate at: pre-training (40%), post-training (34%).
The sectors with the most active Frontier research hiring are: Big Tech, AI Frontier, Semiconductors.