48 active AI roles across 20 companies mention Proximal Policy Optimization (PPO). Category: ML Techniques.
New AI postings mentioning Proximal Policy Optimization (PPO) per week — 39 total over 13 weeks.
Proximal Policy Optimization (PPO) is a skill in the "ML Techniques" category. It currently appears in 48 active AI roles across 20 companies in our index.
The top employers with active AI roles mentioning Proximal Policy Optimization (PPO) are: Amazon (14), NVIDIA (7), OpenAI (5), Autodesk (3), Pinterest (2).
Over the last 13 weeks, 39 new AI postings mentioned Proximal Policy Optimization (PPO). Demand is rising — up 171% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Proximal Policy Optimization (PPO) are concentrated in: agents (33%), post-training (29%), application (23%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
3 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| OpenAI | Researcher, Loss of Control | AI Frontier | 10 | L4 |
| OpenAI | Researcher, Frontier Cybersecurity Risks | AI Frontier | 9 | L4 |
| OpenAI | Research Engineer / Machine Learning Engineer - Applied Voice | AI Frontier | 9 | L2 |