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Companies Using TensorFlow in United States

1,420 companies are hiring TensorFlow talent in United States, with 4,179 open roles.

1,420
Companies
4,179
Open Roles

TensorFlow is Google's open-source machine learning framework, used to build, train, and deploy predictive models at scale. When a company posts TensorFlow roles, they're signaling active investment in custom ML infrastructure — not just buying off-the-shelf AI tools. These companies typically need MLOps platforms, GPU compute, data pipeline tooling, and model monitoring services to support what they're building.

Buying Signal

A TensorFlow hiring push means a company is building or scaling proprietary ML models, which requires real spend on training infrastructure, cloud compute, and experiment tracking tools. They're likely evaluating or already purchasing Google Cloud, managed Kubernetes, or specialized vector databases. AEs selling MLOps platforms, cloud infrastructure, or data labeling services should be prospecting these accounts immediately.

Top Companies50 shown

CompanyIndustryHQ LocationSizeJobsLast SeenLinks
S
St. George Tanaq Corporation
 Software Development Anchorage, United States 10,001+ 323 5w ago
Snap Inc.
snap.com
 Software Development Santa Monica, United States 5,001+ 51 6w ago
DPR Construction
dpr.com
 Construction Redwood City, United States 5,001+ 24 6w ago
Crowe
crowe.com
 Professional Services Chicago, United States 5,001+ 20 7w ago
Databricks
databricks.com
 Software Development San Francisco, United States 5,001+ 12 7w ago
Waymo
waymo.com
 Technology, Information and Internet Mountain View, United States 1,001–5,000 74 6w ago
DigitalOcean
digitalocean.com
 Software Development Broomfield, United States 1,001–5,000 24 7w ago
Attentive
attentive.com
 Advertising Services New York, United States 1,001–5,000 20 6w ago
Pinterest
pinterest.com
 Software Development San Francisco, United States 1,001–5,000 16 6w ago
Xometry
xometry.com
 Software Development Lexington, United States 1,001–5,000 15 6w ago
Braze
braze.com
 Software Development New York, United States 1,001–5,000 12 6w ago
CoreWeave
coreweave.com
 Technology, Information and Internet New York, United States 1,001–5,000 11 6w ago
Scale AI
scale.com
 Software Development San Francisco, United States 501–1,000 18 5w ago
Google DeepMind
deepmind.google
 Research Services Greater London, United Kingdom 501–1,000 11 6w ago
Weights & Biases
wandb.ai
 Software Development San Francisco, United States 201–500 25 6w ago
Cohere
cohere.com
 Software Development Toronto, Canada 201–500 22 6w ago
Autonomous Solutions, Inc. (ASI)
asirobots.com
 Automation Machinery Manufacturing United States 201–500 12 2mo ago
IMO Health
imohealth.com
 IT Services and IT Consulting United States 201–500 12 7w ago
Speechify
speechify.com
 Software Development United States 51–200 16 2mo ago
Roboflow
roboflow.com
 Software Development United States 51–200 15 2mo ago
Cymertek Corporation
cymertek.com
 IT Services and IT Consulting Columbia, United States 11–50 36 3mo ago
Catalyst Labs
catalystlabssl.com
 Business Consulting and Services 11–50 35 3mo ago
Pragmatike
pragmatike.com
 IT Services and IT Consulting Paris, France 11–50 16 1mo ago
ChatGPT Jobs
chatgpt-jobs.com
 Technology, Information and Internet New York, United States 2–10 12 6w ago
adaption
adaptionlabs.ai
 Technology, Information and Internet San Francisco, United States 2–10 11 7w ago
NVIDIA
nvidia.com
 Computer Hardware Manufacturing Santa Clara, United States 10,001+ 79 6w ago
General Motors
gm.com
 Motor Vehicle Manufacturing Detroit, United States 10,001+ 71 4w ago
ByteDance
bytedance.com
 Software Development Pudong, China 10,001+ 62 6w ago
Apple
apple.com
 Computers and Electronics Manufacturing Cupertino, United States 10,001+ 54 4w ago
Meta
metacareers.com
 Software Development Menlo Park, United States 10,001+ 52 5w ago
AMD
amd.com
 Semiconductor Manufacturing Santa Clara, United States 10,001+ 46 6w ago
The Hartford
thehartford.com
 Financial Services Hartford, United States 10,001+ 41 5w ago
Cisco
cisco.com
 Software Development San Jose, United States 10,001+ 39 6w ago
Qualcomm
qualcomm.com
 Semiconductor Manufacturing San Diego, United States 10,001+ 32 6w ago
PayPal
paypal.com
 Software Development San Jose, United States 10,001+ 30 4w ago
Intuit
intuit.com
 Software Development Mountain View, United States 10,001+ 28 6w ago
GEICO
gei.co
 Insurance Washington, United States 10,001+ 26 6w ago
Adobe
adobe.com
 Software Development San Jose, United States 10,001+ 25 4w ago
Thomson Reuters
thomsonreuters.com
 Software Development Toronto, Canada 10,001+ 22 6w ago
TikTok
tiktok.com
 Entertainment Providers Los Angeles, United States 10,001+ 19 7w ago
Boston Consulting Group (BCG)
bcg.com
 Business Consulting and Services Boston, United States 10,001+ 17 6w ago
Booz Allen Hamilton
boozallen.com
 IT Services and IT Consulting McLean, United States 10,001+ 17 6w ago
The Walt Disney Company
disneycareers.com
 Entertainment Providers Burbank, United States 10,001+ 17 5w ago
Credit Karma
creditkarma.com
 Consumer Services Oakland, United States 10,001+ 16 1mo ago
KLA
kla.com
 Semiconductor Manufacturing Milpitas, United States 10,001+ 16 6w ago
Hewlett Packard Enterprise
hpe.com
 IT Services and IT Consulting Houston, United States 10,001+ 14 6w ago
Global Payments Inc.
globalpayments.com
 Financial Services Atlanta, United States 10,001+ 13 7w ago
LinkedIn
linkedin.com
 Software Development Sunnyvale, United States 10,001+ 12 7w ago
Optum
optum.com
 Hospitals and Health Care Eden Prairie, United States 10,001+ 12 6w ago
Analog Devices
analog.com
 Semiconductor Manufacturing Wilmington, United States 10,001+ 11 5w ago

1,420 companies use TensorFlow. Want the full list?

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Companies with open TensorFlow roles in United States. Company HQ may be in a different location.

▲Market Signal

With 1,715 U.S. companies posting nearly 4,739 TensorFlow roles, this isn't emerging demand — it's mainstream ML infrastructure buildout at scale. The volume suggests TensorFlow has moved firmly into enterprise adoption, meaning vendors competing here are fighting for mid-to-late stage deals, not early evangelism.

⦿Stack Intelligence

Companies hiring for TensorFlow alongside PyTorch, Vertex AI, and MLflow are running multi-framework ML environments with structured experiment tracking and deployment pipelines — a sign of organizational ML maturity. Google Cloud appearing in the stack strongly correlates with Vertex AI adoption, making Google's partner ecosystem a productive targeting list. For sales teams, this tech combination identifies accounts that are past proof-of-concept and actively scaling production workloads.

TensorFlow Hiring Landscape

Where and how companies hire TensorFlow talent

By Industry

Software Development
343
IT Services and IT Consulting
230
Technology, Information and Internet
100
Financial Services
96
Business Consulting and Services
43
Semiconductor Manufacturing
32
Defense and Space Manufacturing
58
Hospitals and Health Care
65

Top Roles

Machine Learning Engineer99Senior Machine Learning Engineer95Data Scientist78Senior Data Scientist76AI Engineer62Data Scientist (AI / ML Focus)39AI / Machine Learning Junior / Senior / Lead35Senior AI Engineer35AI/ML Engineer28Software Engineer, Machine Learning28Principal AI Engineer22Staff Machine Learning Engineer20

Related Technologies

PyTorchPythonGoogle CloudVertex AIMLflow

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Frequently Asked Questions

What is TensorFlow?

TensorFlow is the infrastructure layer companies use to build and run machine learning models in production. For business purposes, it represents a commitment to internal AI development rather than purchasing pre-built solutions. Hiring for it signals a company that will need supporting tools across the entire ML lifecycle.

Why should sales teams track TensorFlow hiring?

TensorFlow hiring identifies companies actively funding ML teams, which correlates directly with budget for compute, data, and tooling vendors. A company posting 10+ TensorFlow roles in a quarter is likely mid-procurement cycle for adjacent infrastructure.

Who should be selling to companies that use TensorFlow?

Cloud infrastructure providers, MLOps and model monitoring vendors, data labeling platforms, and GPU or accelerated compute resellers all have strong reasons to prioritize these accounts.