What is Transformer Architectures and how common is it in AI job postings?

Transformer Architectures is a skill in the "ML Techniques" category. It currently appears in 268 active AI roles across 70 companies in our index.

Which companies are hiring for Transformer Architectures?

The top employers with active AI roles mentioning Transformer Architectures are: Amazon (39), NVIDIA (31), Google (16), OpenAI (14), Adobe (14).

Is demand for Transformer Architectures growing?

Over the last 12 weeks, 166 new AI postings mentioned Transformer Architectures. Demand is rising — up 90% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Transformer Architectures used?

Roles requiring Transformer Architectures are concentrated in: agents (34%), serving infrastructure (29%), post-training (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

What skills are commonly paired with Transformer Architectures?

Job postings that mention Transformer Architectures most often also require: Machine Learning, Python, Large Language Models (LLMs), Production ML Systems, PyTorch.

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Transformer Architectures

268 active AI roles across 70 companies mention Transformer Architectures. Category: ML Techniques.

Demand trend

New AI postings mentioning Transformer Architectures per week — 166 total over 12 weeks.

Function

All Engineering · 209 Research · 46 Product · 13

Status

All Active only

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FilteredsectorSemiconductors×functionResearch×Clear all

7 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
NVIDIA	Senior Research Scientist, Multimodal Foundation Models and Robotics	Semiconductors	10	L2
NVIDIA	Research Scientist, Generalist Embodied Agent Research - PhD New College Grad 2026	Semiconductors	10	L4
NVIDIA	Senior Research Scientist, Multimodal Foundation Models and Robotics	Semiconductors	10	L2
Tenstorrent	Model Research, Optimization, and Training	Semiconductors	9	L2
Intel	Neuromorphic Applications Researcher- Temporary Position	Semiconductors	9	L6
Intel	AI Algorithm Research Intern – Neuromorphic Computing	Semiconductors	9	L0
NVIDIA	Principal Architect, AI Networking	Semiconductors	9	L3

Frequently asked questions

What is Transformer Architectures and how common is it in AI job postings?
Transformer Architectures is a skill in the "ML Techniques" category. It currently appears in 268 active AI roles across 70 companies in our index.
Which companies are hiring for Transformer Architectures?
The top employers with active AI roles mentioning Transformer Architectures are: Amazon (39), NVIDIA (31), Google (16), OpenAI (14), Adobe (14).
Is demand for Transformer Architectures growing?
Over the last 12 weeks, 166 new AI postings mentioned Transformer Architectures. Demand is rising — up 90% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Transformer Architectures used?
Roles requiring Transformer Architectures are concentrated in: agents (34%), serving infrastructure (29%), post-training (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.
What skills are commonly paired with Transformer Architectures?
Job postings that mention Transformer Architectures most often also require: Machine Learning, Python, Large Language Models (LLMs), Production ML Systems, PyTorch.

Transformer Architectures

Top employers

Often paired with

Demand trend

Frequently asked questions

Demand trend

Transformer Architectures

Top employers

Often paired with

Frequently asked questions