What is Flow Matching and how common is it in AI job postings?

Flow Matching is a skill in the "ML Techniques" category. It currently appears in 46 active AI roles across 20 companies in our index.

Which companies are hiring for Flow Matching?

The top employers with active AI roles mentioning Flow Matching are: OpenAI (6), NVIDIA (6), Amazon (5), JPMorgan Chase (4), Apple (4).

Is demand for Flow Matching growing?

Over the last 12 weeks, 30 new AI postings mentioned Flow Matching. Demand is rising — up 129% in the last four weeks compared to the earliest four weeks in the window.

At which stage of AI development is Flow Matching used?

Roles requiring Flow Matching are concentrated in: agents (37%), application (26%), post-training (24%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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Flow Matching

46 active AI roles across 20 companies mention Flow Matching. Category: ML Techniques.

Demand trend

New AI postings mentioning Flow Matching per week — 30 total over 12 weeks.

Sector

All Big Tech · 11 AI Frontier · 11 Enterprise · 8 Semiconductors · 6 Consumer · 5 Banking · 4 Robotics · 3 Multimodal · 2 Vertical AI · 1 Retail · 1 Media · 1 Fintech · 1

Function

All Engineering · 36 Research · 12 Product · 6

Status

All Active only

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AI score Recently posted Company A–Z

54 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Meta	AI Research Scientist —Generative AI for Materials Discovery	Big Tech	10	L2
Adobe	Applied Scientist 5.5	Enterprise	9	L2
Adobe	Applied Scientist 5	Enterprise	9	L2
Amazon	Applied Scientist, Prime Video - Generative AI	Big Tech	9	L2
Socure	Head of Data Science - Document Verification & Biometrics	Vertical AI	9	L4
Disney	Sr Staff R&D Engineer	Media	9	L2
OpenAI	Technical Deployment Lead - Tokyo	AI Frontier	9	L6
NVIDIA	Senior Systems Software Engineer - Deep Learning Solutions	Semiconductors	9	L3
Waabi	Research Scientist, World Models	Robotics	9	L2
Apple	Senior Computer Vision and Machine Learning Engineer, Creator Studio	Big Tech	9	L2
Apple	AIML - Machine Learning Researcher, MLR	Big Tech	9	L1
Apple	Senior Computer Vision and Machine Learning Engineer, Creativity Apps	Big Tech	9	L2
Spotify	Senior Research Scientist - Music	Consumer	9	L2
Spotify	Research Scientist - Music	Consumer	9	L2
Spotify	Senior Research Scientist - Music	Consumer	9	L2
Spotify	Research Scientist - Music	Consumer	9	L2
Black Forest Labs	Forward Deployed Machine Learning Engineer	Multimodal	9	L3
Nuro	Senior/Staff Machine Learning Research Scientist: Generative Modeling for Planning	Robotics	9	L2
Nuro	Machine Learning Research Scientist: Generative Modeling for Planning	Robotics	9	L4
Datadog	Software Engineer - AI Developer Workflows	Enterprise	8	L4
Amazon	Senior Applied Scientist, Industrial Robotics Group	Big Tech	8	L6
NVIDIA	Senior Manager, Interactive World Model Platforms	Semiconductors	8	L6
NVIDIA	Senior Manager, AlpaSim and AlpaDreams Production	Semiconductors	8	L6
Salesforce	Agentforce Forward Deployed Engineer	Enterprise	8	L4
Anthropic	Engineering Manager, Cloud Safety	AI Frontier	8	L3
OpenAI	Technical Deployment Lead, Semiconductors	AI Frontier	8	L6
OpenAI	Technical Deployment Lead - Sydney	AI Frontier	8	L6
Amazon	Applied Scientist, Prime Video - Generative AI	Big Tech	8	L2
Apple	Director of Algorithms, Ads Engineering	Big Tech	8	L6
OpenAI	Technical Deployment Lead, Life Sciences	AI Frontier	8	L6

Frequently asked questions

What is Flow Matching and how common is it in AI job postings?
Flow Matching is a skill in the "ML Techniques" category. It currently appears in 46 active AI roles across 20 companies in our index.
Which companies are hiring for Flow Matching?
The top employers with active AI roles mentioning Flow Matching are: OpenAI (6), NVIDIA (6), Amazon (5), JPMorgan Chase (4), Apple (4).
Is demand for Flow Matching growing?
Over the last 12 weeks, 30 new AI postings mentioned Flow Matching. Demand is rising — up 129% in the last four weeks compared to the earliest four weeks in the window.
At which stage of AI development is Flow Matching used?
Roles requiring Flow Matching are concentrated in: agents (37%), application (26%), post-training (24%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

Flow Matching

Top employers

Demand trend

Frequently asked questions

Flow Matching

Top employers

Demand trend

Frequently asked questions