What is Fine-Tuning and how common is it in AI job postings?

Fine-Tuning is a skill in the "ML Ops & Evaluation" category. It currently appears in 494 active AI roles across 97 companies in our index.

Which companies are hiring for Fine-Tuning?

The top employers with active AI roles mentioning Fine-Tuning are: Google (70), Amazon (64), NVIDIA (33), JPMorgan Chase (24), Apple (21).

Is demand for Fine-Tuning growing?

Over the last 12 weeks, 304 new AI postings mentioned Fine-Tuning. Demand is rising — up 244% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Fine-Tuning used?

Roles requiring Fine-Tuning are concentrated in: agents (42%), post-training (19%), serving infrastructure (17%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Fine-Tuning?

Job postings that mention Fine-Tuning most often also require: Machine Learning, Large Language Models (LLMs), Generative AI, Agentic Systems, Python.

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Fine-Tuning

494 active AI roles across 97 companies mention Fine-Tuning. Category: ML Ops & Evaluation.

Demand trend

New AI postings mentioning Fine-Tuning per week — 304 total over 12 weeks.

Function

All Engineering · 378 Research · 92 Product · 24

Status

All Active only

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AI score Recently posted Company A–Z

494 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Scientist, Synthetic Data Generation	Semiconductors	10	L0
Meta	Staff Research Scientist, FAIR (RL / LLM's)	Big Tech	10	L1
Mistral AI	AI Scientist - Zurich	AI Frontier	10	L1
Mistral AI	AI Scientist - Audio	AI Frontier	10	L1
Mistral AI	AI Scientist - Paris/London - Onsite or Hybrid or Remote	AI Frontier	10	L1
Mistral AI	AI Scientist - Palo Alto	AI Frontier	10	L1
Together AI	Research Engineer, Core ML	Data AI	10	L3
OpenAI	Researcher, Synthetic RL	AI Frontier	10	L2
xAI	Member of Technical Staff - Pre-Training	AI Frontier	10	L1
Plaid	Machine Learning Engineer (Research Scientist) - DFAI

Frequently asked questions

What is Fine-Tuning and how common is it in AI job postings?
Fine-Tuning is a skill in the "ML Ops & Evaluation" category. It currently appears in 494 active AI roles across 97 companies in our index.
Which companies are hiring for Fine-Tuning?
The top employers with active AI roles mentioning Fine-Tuning are: Google (70), Amazon (64), NVIDIA (33), JPMorgan Chase (24), Apple (21).
Is demand for Fine-Tuning growing?
Over the last 12 weeks, 304 new AI postings mentioned Fine-Tuning. Demand is rising — up 244% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Fine-Tuning used?
Roles requiring Fine-Tuning are concentrated in: agents (42%), post-training (19%), serving infrastructure (17%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Fine-Tuning?
Job postings that mention Fine-Tuning most often also require: Machine Learning, Large Language Models (LLMs), Generative AI, Agentic Systems, Python.

Fine-Tuning

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Fine-Tuning

Top employers

Often paired with

Frequently asked questions