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

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494 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	Staff Software Engineer, AI/ML GenAI, Google Cloud AI	Big Tech	9	L3
Mistral AI	Product Manager, Forge	AI Frontier	9	L2
Mistral AI	AI Scientist - Robotics	AI Frontier	9	L4
NVIDIA	Principal Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles	Semiconductors	9	L4
NVIDIA	Principal Deep Learning Senior Engineer, End-To-End Autonomous Driving	Semiconductors	9	L2
NVIDIA	Senior Perception Engineer, Obstacle Foundation Models - Autonomous Vehicles	Semiconductors	9	L6
Adobe	Senior Staff Applied Scientist - AI/ML	Enterprise	9	L2
Adobe	Senior Research Scientist	Enterprise	9	L2
Meta	AI Research Engineer - Social Products (Technical Leadership)	Big Tech	9	L2
Mistral AI	Future AI Global leaders - Applied AI & Engineering	AI Frontier	9	L4
Capital One	Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)	Banking	9	L2
Capital One	Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning)	Banking	9	L2
NVIDIA	Senior GPU Networking Architect	Semiconductors	9	L3
NVIDIA	Agent RL Infra Engineer	Semiconductors	9	L2
Meta	AI Research Engineer	Big Tech	9	L2
Snowflake	Staff Research Scientist, AI Agents & LLMs	Data AI	9	L4
Adobe	Principal Architect, Express AI Foundations	Enterprise	9	L4
NVIDIA	Senior AI ML Solution Engineer, AI-Native Development	Semiconductors	9	L4
Crusoe	Senior Staff Software Engineer, AI Model LifeCycle	Data AI	9	L2
Crusoe	Senior Software Engineer, AI Model LifeCycle	Data AI	9	L2
Amazon	Applied Scientist	Big Tech	9	L4
Cohere	Solutions Architect - Public Sector	AI Frontier	9	L4
Amazon	Principal Applied Scientist, Conversational Assistant Modeling & Learning	Big Tech	9	L2
Cresta	Senior Machine Learning Engineer - Voice Experience	Vertical AI	9	L2
OpenAI	Research Engineer/Scientist - Human Alignment, Consumer Devices	AI Frontier	9	L2
Pinterest	Machine Learning Engineer II, Computer Vision Applied Science	Consumer	9	L2
Character AI	Research Engineer, Multimodal	AI Frontier	9	L2
Cerebras	Applied Machine Learning Research Scientist	Semiconductors	9	L2
Capital One	Applied Researcher II (AI Foundations)	Banking	9	L1
ByteDance	Research Scientist, HCI-Multimodality - Interaction Perception, PICO	Big Tech	9	L2

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