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COMPANIES USING

Companies Using Weights & Biases

379 companies are actively hiring Weights & Biases talent across 42 countries.

Weights & Biases is an MLOps platform used to track experiments, version datasets, and monitor model performance across the machine learning lifecycle. When a company posts roles requiring W&B experience, they're signaling an active or scaling ML training infrastructure — not just exploration. These companies are likely in the market for cloud compute, data pipeline tooling, and model deployment platforms.

Buying Signal

A company hiring for Weights & Biases talent is operationalizing machine learning, which means they're making active purchasing decisions around GPU infrastructure, feature stores, and model serving solutions. They've moved past proof-of-concept and need vendors who support production ML workflows. Sales reps at cloud providers, data infrastructure companies, and MLOps competitors should be prioritizing these accounts.

Top Companies49 shown

Top companies hiring Weights & Biases talent in 2026
CompanyIndustryHQ LocationSizeJobsLinks
BWI GmbH
bwi.de
 IT Services and IT Consulting Meckenheim, Germany 5,001+ 597
Unity
unity.com
 Software Development San Francisco, United States 5,001+ 151
Signature Aviation
signatureaviation.com
 Airlines and Aviation Orlando, United States 5,001+ 174
Dayforce
dayforce.com
 Software Development Minneapolis, United States 5,001+ 146
Orion Innovation
orioninc.com
 IT Services and IT Consulting Woodbridge Township, United States 5,001+ 122
Unity South APAC (SEA, ANZ, IND Subcont.)
unity3d.com
 Software Development Singapore 5,001+ 122
Grid Dynamics
bit.ly
 IT Services and IT Consulting San Ramon, United States 5,001+ 271
Verisk
verisk.com
 Information Services Jersey City, United States 5,001+ 151
A*STAR - Agency for Science, Technology and Research
a-star.edu.sg
 Research Services Singapore 5,001+ 98
Binance
binance.com
 Technology, Information and Internet Portland, United States 5,001+ 668
BairesDev
bairesdev.com
 IT Services and IT Consulting San Francisco, United States 1,001–5,000 981
JetBrains
jetbrains.com
 Software Development Amsterdam, Netherlands 1,001–5,000 271
Symbotic
symbotic.com
 Automation Machinery Manufacturing Wilmington, United States 1,001–5,000 130
SentinelOne
sentinelone.com
 Computer and Network Security Mountain View, United States 1,001–5,000 149
TeamViewer
teamviewer.com
 Software Development Göppingen, Germany 1,001–5,000 200
Ubiquiti Inc.
ui.com
 Technology, Information and Internet New York, United States 1,001–5,000 108
Datadog
datadoghq.com
 Software Development New York, United States 1,001–5,000 370
Hyland
hyland.com
 Software Development Westlake, United States 1,001–5,000 129
Extia
extia-group.com
 IT Services and IT Consulting Sèvres, France 1,001–5,000 298
FCamara
fcamara.com
 IT Services and IT Consulting Brazil 1,001–5,000 110
Doctolib
doctolib.com
 Software Development Levallois-Perret, France 1,001–5,000 157
HTX (Home Team Science & Technology Agency)
htx.gov.sg
 Government Administration Singapore 1,001–5,000 99
Talkiatry
talkiatry.com
 Mental Health Care New York, United States 501–1,000 169
Telnyx
telnyx.com
 Software Development Austin, United States 201–500 138
YO IT Consulting
yoitconsulting.com
 Software Development Abu Dhabi, United Arab Emirates 51–200 264
hackajob
hackajob.com
 Software Development Greater London, United Kingdom 51–200 222
IRIUM Portugal
irium.pt
 IT Services and IT Consulting Lisbon, Portugal 51–200 181
SourcingXPress
sourcingxpress.com
 Technology, Information and Internet Bengaluru, India 11–50 329
EY
ey.com
 Professional Services Greater London, United Kingdom 10,001+ 474
EchoStar Corporation
echostar.com
 Telecommunications Englewood, United States 10,001+ 290
Cisco
cisco.com
 Software Development San Jose, United States 10,001+ 165
NTT DATA North America
nttdata.com
 IT Services and IT Consulting Plano, United States 10,001+ 176
PNC
pnc.com
 Financial Services Pittsburgh, United States 10,001+ 297
SoftServe
softserveinc.com
 IT Services and IT Consulting Austin, United States 10,001+ 180
Rivian
rivian.com
 Motor Vehicle Manufacturing Irvine, United States 10,001+ 374
Apple
apple.com
 Computers and Electronics Manufacturing Cupertino, United States 10,001+ 149
Zebra Technologies
zebra.com
 IT Services and IT Consulting United States 10,001+ 143
Optum India
optum.in
 IT Services and IT Consulting 10,001+ 138
EPAM Systems
epam.com
 IT Services and IT Consulting Newtown, United States 10,001+ 132
General Dynamics Information Technology
gdit.com
 IT Services and IT Consulting Falls Church, United States 10,001+ 353
Trimble Inc.
trimble.com
 Software Development Westminster, United States 10,001+ 366
Teradata
teradata.com
 Software Development San Diego, United States 10,001+ 225
Amadeus
amadeus.com
 IT Services and IT Consulting Madrid, Spain 10,001+ 123
The Walt Disney Company
disneycareers.com
 Entertainment Providers Burbank, United States 10,001+ 134
Chubb
chubb.com
 Insurance Zurich, Switzerland 10,001+ 399
Warner Bros. Discovery
wbd.com
 Entertainment Providers New York, United States 10,001+ 185
Coupang
aboutcoupang.com
 Software Development Seattle, United States 10,001+ 121
Reply
reply.com
 IT Services and IT Consulting Turin, Italy 10,001+ 112
Swiggy
swiggy.com
 Technology, Information and Internet Bengaluru, India 10,001+ 99

379 companies use Weights & Biases. Want the full list?

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Market Signal

With 214 companies posting nearly 39,000 roles tied to Weights & Biases, this is a mature signal — not an emerging one. That volume points to W&B becoming a standard requirement in ML teams, meaning the surrounding vendor ecosystem is also expanding.

Stack Intelligence

Companies hiring for W&B almost always pair it with PyTorch or TensorFlow for model training and Python as the foundational language, indicating teams building custom models rather than using off-the-shelf solutions. The presence of MLflow alongside W&B suggests companies evaluating or replacing experiment tracking tools — a direct sales opportunity for vendors competing in that space. This stack combination identifies buyers who are technically sophisticated and actively investing in ML infrastructure.

Hiring Landscape

Weights & Biases in the Market

Where and how companies hire Weights & Biases talent

By Country

United States
153
India
42
United Kingdom
17
Germany
16
Canada
12
France
12
Portugal
11
Singapore
10

By Industry

IT Services and IT Consulting
101
Software Development
91
Technology, Information and Internet
44
Business Consulting and Services
12
Financial Services
12
Information Technology & Services
9
Robotics Engineering
8
Information Services
6

Top Roles

Software Engineer118Data Engineer114Product Manager88Data Scientist86Ai Engineer80Project Manager76Machine Learning Engineer67Devops Engineer57Account Executive56Business Analyst56Backend Engineer38Data Analyst38

Related Technologies

PyTorchTensorFlowMLflowPython

What is Weights & Biases?

Weights & Biases is an ML experiment tracking and model management platform. W&B hiring signals serious ML experimentation culture.

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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 Weights & Biases?

Weights & Biases is a machine learning operations platform that helps data science teams track model experiments and collaborate on model development at scale. For sales teams, a company hiring for it signals a funded, active ML program with real infrastructure spend attached.

Why should sales teams track Weights & Biases hiring?

Tracking W&B hiring lets sales teams identify companies in active ML buildout before those companies issue RFPs. A cloud sales rep, for example, can spot a mid-market fintech scaling its model training and engage before the compute budget is already allocated.

Who should be selling to companies that use Weights & Biases?

Vendors best positioned here include cloud compute providers, data labeling platforms, model deployment and serving tools, and MLOps or data observability companies.