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COMPANIES USING

Companies Using PyTorch

7,792 companies are actively hiring PyTorch talent across 49 countries.

PyTorch is the dominant deep learning framework for building and training neural networks, used by research teams and production ML engineers alike. When a company posts PyTorch roles, it signals active investment in custom AI model development — not just off-the-shelf tooling. These companies are likely in the market for GPU compute infrastructure, MLOps platforms, vector databases, and data labeling services.

Buying Signal

A company hiring PyTorch engineers is building proprietary models, which means they're actively evaluating or expanding their training infrastructure, experiment tracking tools, and model deployment pipelines. For example, a fintech hiring PyTorch Data Scientists alongside MLflow roles is likely weeks away from a procurement decision on an ML platform or cloud AI service. SDRs selling compute, monitoring, or data infrastructure should treat PyTorch job postings as a top-tier trigger event.

Top Companies50 shown

Top companies hiring PyTorch talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
Lowes Foods
lowesfoods.com
Retail Groceries Winston-Salem, United States 5,001+ 345
Gopuff
gopuff.com
Software Development Philadelphia, United States 5,001+ 370
Affirm
affirm.com
Financial Services San Francisco, United States 1,001–5,000 702
BairesDev
bairesdev.com
IT Services and IT Consulting San Francisco, United States 1,001–5,000 981
ACV Auctions
acvauctions.com
Software Development Buffalo, United States 1,001–5,000 278
Goosehead Insurance
gooseheadinsurance.com
Insurance Westlake, United States 1,001–5,000 332
FullStack
fullstack.com
Technology, Information and Internet Brentwood, United States 501–1,000 810
YO IT Consulting
yoitconsulting.com
Software Development Abu Dhabi, United Arab Emirates 51–200 264
BioSpace
biospace.com
Internet News West Des Moines, United States 11–50 382
Sichuan Kelun Pharmaceutical Co., Ltd.
kelun.com
Pharmaceutical Manufacturing 223
Advance Auto Parts
advanceautoparts.com
Retail Raleigh, United States 10,001+ 3,491
CVS Health
cvshealth.com
Hospitals and Health Care Woonsocket, United States 10,001+ 1,931
Cinemark
cinemark.com
Entertainment Providers Plano, United States 10,001+ 830
Sam's Club
samsclub.com
Retail Bentonville, United States 10,001+ 1,528
Deloitte
deloitte.com
Business Consulting and Services Sydney, Australia 10,001+ 906
PwC
pwc.com
Professional Services City of Westminster, United Kingdom 10,001+ 1,002
IBM
ibm.com
IT Services and IT Consulting Armonk, United States 10,001+ 610
Monoprix
monoprix.fr
Retail Clichy, France 10,001+ 675
Jacobs
jacobs.com
Business Consulting and Services Dallas, United States 10,001+ 789
Amazon Web Services (AWS)
amazon.com
IT Services and IT Consulting Seattle, United States 10,001+ 893
Woolworths Group
woolworthsgroup.com.au
Retail Sydney, Australia 10,001+ 389
EY
ey.com
Professional Services Greater London, United Kingdom 10,001+ 474
Walmart
bit.ly
Retail Bentonville, United States 10,001+ 849
EY-Parthenon
ey.com
Business Consulting and Services Greater London, United Kingdom 10,001+ 492
BMO
bmo.com
Financial Services Toronto, Canada 10,001+ 377
AT&T
att.com
Telecommunications Dallas, United States 10,001+ 332
Intuit
intuit.com
Software Development Mountain View, United States 10,001+ 426
KPMG US
kpmg.com
Financial Services New York, United States 10,001+ 428
IQVIA
iqvia.com
Hospitals and Health Care Durham, United States 10,001+ 533
DHL Supply Chain
logistics.dhl
Transportation, Logistics, Supply Chain and Storage Bonn, Germany 10,001+ 349
PwC Deutschland
pwc.de
Business Consulting and Services Frankfurt, Germany 10,001+ 274
Pearson
pearson.com
Education Greater London, United Kingdom 10,001+ 558
Lam Research
lamresearch.com
Semiconductor Manufacturing Fremont, United States 10,001+ 593
Comcast
comca.st
Telecommunications Philadelphia, United States 10,001+ 288
EchoStar Corporation
echostar.com
Telecommunications Englewood, United States 10,001+ 290
PKO Bank Polski
pkobp.pl
Banking Warsaw, Poland 10,001+ 314
BNP Paribas
bnpp.lk
Banking Paris, France 10,001+ 540
Johnson & Johnson Innovative Medicine
jnj.com
Pharmaceutical Manufacturing 10,001+ 243
McKesson
mckesson.com
Hospitals and Health Care Irving, United States 10,001+ 247
Arthrex
arthrex.com
Medical Equipment Manufacturing Naples, United States 10,001+ 239
Accenture in India
accenture.com
IT Services and IT Consulting Bengaluru, India 10,001+ 599
Republic Services
republicservices.com
Environmental Services Phoenix, United States 10,001+ 395
Arrow Electronics
arrow.com
Technology, Information and Internet Centennial, United States 10,001+ 463
Accenture services Pvt Ltd
accenture.com
Information Technology & Services Chennai, India 10,001+ 231
BDO USA
bdo.com
Accounting Chicago, United States 10,001+ 576
Humana
humana.com
Insurance Louisville, United States 10,001+ 330
Tesla
tesla.com
Motor Vehicle Manufacturing Austin, United States 10,001+ 233
Ericsson
ericsson.com
Telecommunications Stockholm, Sweden 10,001+ 228
Global Payments Inc.
globalpayments.com
Financial Services Atlanta, United States 10,001+ 279
JPMorganChase
jpmorganchase.com
Financial Services New York, United States 10,001+ 559

7,792 companies use PyTorch. Want the full list?

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Market Signal

With 6,188 companies posting nearly 94,000 PyTorch-related roles, this is no longer an emerging skill — it's a baseline requirement for any organization building AI at scale. The volume indicates a market well past early adoption, meaning vendor competition is high but deal sizes are growing.

Stack Intelligence

Companies co-hiring for PyTorch and Hugging Face are signaling a shift toward fine-tuning large language models, not just training from scratch — a strong indicator they need managed inference or LLMOps tooling. The presence of MLflow alongside PyTorch points to a maturing ML practice that's moving from experimentation to production. Sales teams targeting this stack should prioritize companies showing all four signals: PyTorch, Python, Hugging Face, and MLflow.

Hiring Landscape

PyTorch in the Market

Where and how companies hire PyTorch talent

By Country

United States
3,314
China
1,029
India
699
Germany
422
United Kingdom
380
France
271
Brazil
206
Canada
191

By Industry

IT Services and IT Consulting
1,811
Software Development
1,610
Technology, Information and Internet
631
Financial Services
360
Business Consulting and Services
353
Information Technology & Services
287
Research Services
169
Biotechnology Research
139

Top Roles

Software Engineer2,204Data Engineer1,712Product Manager1,706Project Manager1,657Data Scientist1,435Ai Engineer1,262Business Analyst986Devops Engineer959Machine Learning Engineer907Data Analyst838Sales Manager784Account Manager764

What is PyTorch?

PyTorch is an open-source deep learning framework by Meta. PyTorch is the dominant framework for ML research and increasingly for production.

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How this page is built

echoloc compiles technology-adoption signals from public hiring and company data — career pages, public listings, and company web presence — then clusters and de-duplicates them into the summary above. Figures are estimates that refresh over time. Read our full methodology →

This is not an official customer or user list. It is a technology-adoption signal inferred from public data, intended for B2B research.

Frequently Asked Questions

What is PyTorch?

PyTorch is an open-source deep learning framework used to build, train, and deploy AI models across computer vision, NLP, and generative AI applications. Businesses adopt it when they need custom model development beyond what prebuilt APIs can offer. Hiring for it signals a team actively expanding its internal AI capabilities.

Why should sales teams track PyTorch hiring?

PyTorch hiring predicts near-term spend on infrastructure, data, and tooling required to support custom model development. A company ramping from two to ten PyTorch engineers in 90 days is almost certainly mid-cycle on a platform or cloud contract.

Who should be selling to companies that use PyTorch?

Vendors best positioned to sell into PyTorch shops include cloud GPU providers, MLOps and experiment tracking platforms, vector database companies, and enterprise data labeling or annotation services.