New AI postings mentioning Supervised Fine-Tuning (SFT) per week — 85 total over 12 weeks.
149 active AI roles across 43 companies mention Supervised Fine-Tuning (SFT). Category: ML Techniques.
Supervised Fine-Tuning (SFT) is a skill in the "ML Techniques" category. It currently appears in 149 active AI roles across 43 companies in our index.
The top employers with active AI roles mentioning Supervised Fine-Tuning (SFT) are: Amazon (38), Capital One (16), OpenAI (10), Decagon (9), Adobe (8).
Over the last 12 weeks, 85 new AI postings mentioned Supervised Fine-Tuning (SFT). Demand is rising — up 76% in the last four weeks compared to the earliest four weeks in the window.
Roles requiring Supervised Fine-Tuning (SFT) are concentrated in: post-training (46%), agents (27%), serving infrastructure (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
Job postings that mention Supervised Fine-Tuning (SFT) most often also require: Machine Learning, Large Language Models (LLMs), Computer Architecture, Reinforcement Learning (RL), PyTorch.
7 AI roles requiring this skill.
| Company | Title | Sector | AI score | Stage |
|---|---|---|---|---|
| Mistral AI | Open-Source Software, Machine Learning Engineer | AI Frontier | 9 | L3 |
| OpenAI | Machine Learning Engineer, Integrity | AI Frontier | 9 | L2 |
| xAI | Member of Technical Staff - Imagine Model | AI Frontier | 9 | L2 |
| Cohere | Member of Technical Staff, Post-Training | AI Frontier | 9 | L2 |
| OpenAI | Research Engineer, Applied AI Engineering | AI Frontier | 9 | L6 |
| Character AI | Technical Program Manager, Model Alignment and Deployment | AI Frontier | 8 | L2 |
| OpenAI | ChatGPT Performance Engineer | AI Frontier | 7 | L3 |