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Companies using Ray

We found 3,176 companies that use Ray. 2,354 of them name it in their own job posts, and the rest through employees' public profiles. Its share of job posts held steady in the three months to August 2026; 4,415 job posts named it from October 2025 to August 2026. Data science teams are its most common home.

Data as of November 9, 2026 · Markdown version

Which companies name Ray in the most job posts?

The five companies with the most job posts naming Ray are Apple, Google, JPMorganChase, Uber and NVIDIA. Of the five companies in the table, Apple has the most employees who list it on their profiles: 22.
Company Posts People Recent job post
Apple Scientific and Technical Services · first seen Jun 2023 311 22 "Experience designing and implementing scalable data processing pipelines using Spark, Ray, or similar distributed computing frameworks."Machine Learning Research Engineer, Pretraining Data - Foundation Models, Oct 26, 2026
Google Scientific and Technical Services · first seen Aug 2022 290 19 "You will be the technical bridge between GKE's robust infrastructure and the rapidly evolving OSS AI ecosystem (e.g., Ray, Slurm, KubeFlow, PyTorch, NumPy, CUDA)."Principal Engineer, AI Ecosystem, Nov 1, 2026
JPMorganChase Finance and Insurance · first seen Aug 2022 254 8 "Implement quantization techniques and deploy open-weight large language models (LLMs) on modern serving stacks such as vLLM on Ray to maximize efficiency and resource utilization."Executive Director Machine Learning Engineer-MLOps, Oct 27, 2026
Uber Scientific and Technical Services · first seen Aug 2022 223 6 "Familiar with distributed batch processing: Ray"Staff Software Engineer - ML Infra, Nov 7, 2026
NVIDIA Scientific and Technical Services · first seen Aug 2023 160 16 "Design and implement end-to-end integrations of Grove with open-source AI frameworks (e.g., Dynamo, llm-d, Ray, PyTorch, and related ecosystem projects)."Senior Software Engineer, AI Frameworks, Nov 4, 2026
Showing 1 to 5 of 2,354 companies with job posts Sign up to see all companies using Ray ›

What else do we know about Ray?

Is hiring for Ray growing?

Hiring for Ray barely changed, at 2.2 in every 10,000 job posts from June to August 2026 against 2.1 from March to May. Its busiest month was November 2025, at 2.8.
Share of job posts naming Ray by month, October 2025 to August 2026, in job posts in every 10,000 Moves from 2.7 in October 2025 to 2.1 in August 2026, in job posts in every 10,000. 3.2 2.4 1.6 0.79 0 2.1 Oct '25 Nov Dec Jan '26 Feb Mar Apr May Jun Jul Aug
Show the data
MonthJob posts naming RayAll job postsPer 10,000
Oct 20253821,413,6732.7
Nov 20255031,822,1192.8
Dec 20253111,236,1032.5
Jan 20264411,828,0022.4
Feb 20264211,856,6472.3
Mar 20263761,850,7112.0
Apr 20263421,728,8862.0
May 20264381,821,5092.4
Jun 20263971,909,4962.1
Jul 20264101,815,1802.3
Aug 20263941,835,6982.1

How many companies named Ray in a job post for the first time in recent months?

219 companies named Ray in a job post for the first time from June to August 2026, against 184 from March to May. From October 2025 to August 2026, 791 companies named it in a job post for the first time.
March to May 2026 184
June to August 2026 219
October 2025 to August 2026 791

Companies whose first job post naming it appeared in that period. Recruiters, staffing firms and job boards are left out.

How do we know which companies use Ray?

2,354 companies name Ray in job posts they wrote, and employees' profiles add 822 more. 302 show up in both job posts and employees' profiles.
How we know Companies Share
Job posts name Ray
2,354 74%
Employees' profiles list Ray
822 26%

3,176 companies. Each is counted once, under the strongest evidence we have for it.

What size are the companies that use Ray?

Smaller companies stand out among Ray users: companies with fewer than 50 employees are 28% of them, against 22% on the typical tech page. 572 of its companies have more than 5,000 employees.

Share of its companies Typical tech page

ShareTypical
Under 50 employees
28% 22%
50 to 999
38% 38%
1,000 to 5,000
16% 17%
Over 5,000
18% 23%

Where are Ray companies based?

The United States dominates for Ray, with 51% of the companies that use it. The United Kingdom is second, at 5.4%.
ShareTypical
United States
51% 43%
United Kingdom
5.4% 6.4%
India
5.2% 6.9%
Germany
4.3% 4.4%
France
3.7% 4.6%
Turkey
3.7% 0.75%

Companies in 76 countries and territories. Shares are of companies with a known headquarters country.

Show the data
CountryCompaniesShareTypical tech page
United States1,52851%43%
United Kingdom1625.4%6.4%
India1545.2%6.9%
Germany1294.3%4.4%
France1103.7%4.6%
Turkey1093.7%0.75%

Which teams work with Ray?

Data science teams are the most common home for Ray, at 50 companies, followed by AI and AI platform. Data engineering and engineering teams follow, at 26 companies each.
Team Companies
Data science
50
AI
43
AI platform
28
Data engineering
26
Engineering
26
Machine learning
24

What else do Ray companies use?

Flyte and DeepSpeed are the tools most closely tied to Ray. SGLang comes third, 77 times as common as usual, at 9.8%.

Share of the 1,616 Ray companies counted here whose job posts also name the tool Typical for companies the same size

Tool Also name it Typical Times as common
Flyte 82 companies
5.1% 0.06% 83x
DeepSpeed 247 companies
15% 0.19% 81x
SGLang 159 companies
9.8% 0.13% 77x
KServe 118 companies
7.3% 0.12% 62x
Tool Also name it Typical Times as common
NVIDIA Triton 414 companies
26% 0.5% 52x
TorchServe 111 companies
6.9% 0.14% 49x
vLLM 434 companies
27% 0.57% 47x
Weights & Biases 292 companies
18% 0.44% 41x

Which companies started naming Ray in job posts recently?

208 companies with 50 or more employees started naming Ray in job posts between April and August 2026. 51 of them have more than 5,000 employees. Aptiv has the most job posts of the new enterprise companies, 8 from April to August.
AI native any size · 24 new
Company Posts
NYB AI 6
DeepHow 5
TwelveLabs 4
Domyn 3
DeepRoute.ai 3
Commercial 50 to 999 employees · 97 new
Company Posts
Bitdeer (NASDAQ: BTDR) 6
Raft 6
Biohub 5
Salesloft 4
Zalo 3
Mid-market 1,000 to 5,000 employees · 60 new
Company Posts
SCC France 5
Gen 4
iManage 4
Zycus 4
ECS 3
Enterprise over 5,000 employees · 51 new
Company Posts
Aptiv 8
PepsiCo 5
McDonald's 4
SCC 4
TD 3

Companies that named Ray in a job post for the first time between April and August 2026, ranked by their job posts in those months. AI-native companies get a group of their own, whatever their size. Recruiters and job boards are left out.

Which roles mention Ray most?

AI Engineer and Machine Learning roles account for 40% of the job posts that name Ray. AI Engineer posts naming it numbered 223 from March to May 2026 and 230 from June to August.
Role Share Posts
AI Engineer
21% 925
Machine Learning
19% 836
Software Engineer
12% 521
Data Scientist
4% 178
Data Engineer
3.7% 163
MLOps Engineer
3.7% 163
Show the data
RoleShareOct 2025 to Aug 2026Mar to May 2026Jun to Aug 2026
AI Engineer21%925223230
Machine Learning19%836191199
Software Engineer12%521122127
Data Scientist4%1785643
Data Engineer3.7%1633955
MLOps Engineer3.7%1634231

Which project themes come up in Ray job posts?

Teams most often pair Ray with Generative AI (1,403 job posts), then broad digital transformation, then Cloud Cost Optimization and Data Infrastructure Migration.
Project theme Job posts
Generative AI 1,403
Digital Transformation 1,109
Cloud Cost Optimization 714
Data Infrastructure Migration 277
About this data

Sumble built this page. Sumble gives sales, marketing and other GTM teams technographics and hiring signals for the companies they sell to: the technologies each company uses, which teams are hiring and for what, and who reports to whom. That helps a team know who to contact, why now, and what to say.

Sumble covers more than 3.6 million companies, 93 million job posts collected since 2022 and 194 million employee profiles, and tracks more than 37,000 technologies. It finds which technologies a company uses by reading its job posts and its employees' public profiles.

Sumble has a free plan, and the same data is available through its API and MCP server.

A company counts when its own job posts or its employees' public profiles name the technology. Hiring is that technology's share of all job posts collected each month. Quotes are copied word for word from the companies' job posts.

Every figure on this page comes from Sumble's own analysis, and you won't find it outside Sumble.