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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34 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Deep Learning Senior Engineer, End-To-End Autonomous Driving	Semiconductors	9	L2
AMD	Fellow, AI Workload Optimization	Semiconductors	9	L3
AMD	Sr. Fellow Machine Learning Engineer	Semiconductors	9	L1
NVIDIA	Senior LLM Agents Architect	Semiconductors	9	L4
NVIDIA	Senior Software Engineer, AI Inference Systems	Semiconductors	9	L3
NVIDIA	Senior Research Engineer - AI Coding Tools	Semiconductors	9	L4
NVIDIA	Principal High-Performance LLM Training Engineer	Semiconductors	9	L1
NVIDIA	Senior Machine Learning and Simulation Engineer - Autonomous Vehicles	Semiconductors	9	L2
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
NVIDIA	Senior GPU Networking Architect	Semiconductors	9	L3
NVIDIA	Agent RL Infra Engineer	Semiconductors	9	L2
NVIDIA	Senior AI ML Solution Engineer, AI-Native Development	Semiconductors	9	L4
Cerebras	Applied Machine Learning Research Scientist	Semiconductors	9	L2
NVIDIA	Senior Capability Development Engineer	Semiconductors	9	L4
Cerebras	Applied AI/ML Scientist	Semiconductors	9	L2
NVIDIA	Senior Deep Learning Software Engineer, Inference	Semiconductors	9	L3
Cerebras	Senior Runtime Engineer	Semiconductors	9	L3
Tenstorrent	C++ Machine Learning Engineer, Models Training	Semiconductors	9	L0
Intel	Machine Learning Engineer	Semiconductors	8	L2
NVIDIA	AI Computing Development Engineer, TensorRT and TensorRT-LLM AIGV	Semiconductors	8	L3
NVIDIA	Software Engineering Manager, Robotics Neural Reconstruction and Real2Sim Applications	Semiconductors	8	L6
Intel	AI Software Engineering Intern	Semiconductors	8	L4
Intel	Senior GenAI Software Solutions Engineer	Semiconductors	8	L4
NVIDIA	Senior Software Engineer, Deep Learning Inference	Semiconductors	8	L3
NVIDIA	Senior Software Engineer - VLM Microservices for Neural Reconstruction	Semiconductors	8	L3
NVIDIA	AI Computing Development Engineer, TensorRT-LLM	Semiconductors	8	L3
NVIDIA	Developer Technology Engineer - AI	Semiconductors	8	L3
NVIDIA	Senior Software Engineer, Deep Learning - MLIR TRT	Semiconductors	8	L3

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