What is Variational Autoencoders (VAEs) and how common is it in AI job postings?

Variational Autoencoders (VAEs) is a skill in the "ML Techniques" category. It currently appears in 8 active AI roles across 5 companies in our index.

Which companies are hiring for Variational Autoencoders (VAEs)?

The top employers with active AI roles mentioning Variational Autoencoders (VAEs) are: Amazon (3), Apple (2), Weaviate (1), Visa (1), Disney (1).

Is demand for Variational Autoencoders (VAEs) growing?

Over the last 4 weeks, 7 new AI postings mentioned Variational Autoencoders (VAEs). Demand has been relatively stable over this period.

At which stage of AI development is Variational Autoencoders (VAEs) used?

Roles requiring Variational Autoencoders (VAEs) are concentrated in: post-training (63%), application (13%), agents (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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Variational Autoencoders (VAEs)

8 active AI roles across 5 companies mention Variational Autoencoders (VAEs). Category: ML Techniques.

Top employers

Amazon3Big Tech Apple2Big Tech Weaviate1Data AI Visa1Fintech Disney1Media

Demand trend

New AI postings mentioning Variational Autoencoders (VAEs) per week — 7 total over 4 weeks.

Sector

All Big Tech · 5 Media · 1 Fintech · 1 Data AI · 1

Function

All Engineering · 6 Research · 2

Status

All Active only

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1 AI role requiring this skill.

Company	Title	Sector	AI score	Stage
Visa	Senior Software Engineer (3 - 6 years of experience in Java full-stack development, Angular / React, GenAI)	Fintech	7	L4

Frequently asked questions

What is Variational Autoencoders (VAEs) and how common is it in AI job postings?
Variational Autoencoders (VAEs) is a skill in the "ML Techniques" category. It currently appears in 8 active AI roles across 5 companies in our index.
Which companies are hiring for Variational Autoencoders (VAEs)?
The top employers with active AI roles mentioning Variational Autoencoders (VAEs) are: Amazon (3), Apple (2), Weaviate (1), Visa (1), Disney (1).
Is demand for Variational Autoencoders (VAEs) growing?
Over the last 4 weeks, 7 new AI postings mentioned Variational Autoencoders (VAEs). Demand has been relatively stable over this period.
At which stage of AI development is Variational Autoencoders (VAEs) used?
Roles requiring Variational Autoencoders (VAEs) are concentrated in: post-training (63%), application (13%), agents (13%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.