What is Ray and how common is it in AI job postings?

Ray is a skill in the "Frameworks & Tools" category. It currently appears in 120 active AI roles across 40 companies in our index.

Which companies are hiring for Ray?

The top employers with active AI roles mentioning Ray are: Unity (10), ByteDance (10), Reddit (9), NVIDIA (7), JPMorgan Chase (5).

Is demand for Ray growing?

Over the last 13 weeks, 63 new AI postings mentioned Ray. Demand has been relatively stable over this period.

At which stage of AI development is Ray used?

Roles requiring Ray are concentrated in: serving infrastructure (54%), data (17%), agents (12%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

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Ray

120 active AI roles across 40 companies mention Ray. Category: Frameworks & Tools.

Demand trend

New AI postings mentioning Ray per week — 63 total over 13 weeks.

Sector

All Big Tech · 27 Enterprise · 26 AI Frontier · 14 Data AI · 13 Consumer · 12 Semiconductors · 9 Banking · 7 Fintech · 5 Robotics · 4 Insurance · 4 Multimodal · 2 Retail · 1 Industrial · 1 Auto · 1

Function

All Engineering · 115 Research · 10 Product · 1

Status

All Active only

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AI score Recently posted Company A–Z

126 AI roles requiring this skill.

Company	Title	Sector	AI score	Stage
Google	Customer Engineer IV, AI Infrastructure, Google Public Sector	Big Tech	8	L3
JPMorgan Chase	Asset Management - AI Systems Engineer – Associate/VP	Banking	8	L3
NVIDIA	Senior DGX Cloud AI Infrastructure Software Engineer	Semiconductors	8	L3
NVIDIA	Senior AI Infrastructure Software Engineer - DGX Cloud	Semiconductors	8	L3
Amazon	Applied Scientist II, Amazon Travel & Events	Big Tech	8	L4
Capital One	Senior Distinguished Engineer, AI Compute (Remote Eligible)	Banking	8	L3
GEICO	Senior Staff Machine Learning Engineer	Insurance	8	L4
JPMorgan Chase	Applied AI ML - Senior Associate - Machine Learning Engineer	Banking	8	L6
JPMorgan Chase	Applied AI ML Lead - DocAI	Banking	8	L6
GEICO	Staff Machine Learning Engineer	Insurance	8	L4
GEICO	Senior Staff Machine Learning Engineer	Insurance	8	L4
NVIDIA	Principal Deep Learning Communication Architect	Semiconductors	8	L3
Adobe	Sr Machine Learning Engineer- ML Infrastructure & Data Platforms	Enterprise	8	L3
JPMorgan Chase	Generative AI - Senior Associate	Banking	8	L6
Instacart	Engineering Manager, Machine Learning (Caper)	Consumer	8	L4
Reddit	Staff Machine Learning Engineer, Consumer	Consumer	8	L4
Samsara	Staff ML Engineer - ML Infrastructure	Enterprise	8	L3
NVIDIA	Senior Design Automation Engineer, Applied AI	Semiconductors	8	L4
Apple	Machine Learning Engineer - LLM	Big Tech	8	L4
Microsoft	Member of Technical Staff, High Performance Computing Engineer - MAI SuperIntelligence Team	Big Tech	8	L0
DocuSign	Senior Machine Learning Engineer	Enterprise	8	L4
Microsoft	Member of Technical Staff - Data Research Engineer - MAI Superintelligence Team	Big Tech	8	L0
HeyGen	Software Engineer, AI Compute Infrastructure	Multimodal	8	L3
Samsara	Staff Machine Learning Engineer - Edge AI	Enterprise	8	L3
Samsara	Staff Machine Learning Engineer - Edge AI	Enterprise	8	L3
Snorkel AI	Applied AI Engineer - Federal (TS Required)	Data AI	8	L4
HeyGen	Tech Lead, AI Compute Infrastructure	Multimodal	8	L3
Databricks	Software Engineer - GenAI inference	Data AI	8	L3
Amazon	Software Development Engineer AI/ML, Inference Serving, AWS Neuron	Big Tech	8	L3
Cohere	Member of Technical Staff, Integration/RL Team (Research Engineer)	AI Frontier	8	L2

Frequently asked questions

What is Ray and how common is it in AI job postings?
Ray is a skill in the "Frameworks & Tools" category. It currently appears in 120 active AI roles across 40 companies in our index.
Which companies are hiring for Ray?
The top employers with active AI roles mentioning Ray are: Unity (10), ByteDance (10), Reddit (9), NVIDIA (7), JPMorgan Chase (5).
Is demand for Ray growing?
Over the last 13 weeks, 63 new AI postings mentioned Ray. Demand has been relatively stable over this period.
At which stage of AI development is Ray used?
Roles requiring Ray are concentrated in: serving infrastructure (54%), data (17%), agents (12%). These stages follow a seven-stage AI lifecycle from data preparation through to shipped product.

Ray

Top employers

Demand trend

Frequently asked questions

Demand trend

Ray

Top employers

Frequently asked questions