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Remote TensorFlow Jobs

Browse remote TensorFlow positions — production ML pipelines, Keras model development, TFX workflows, and mobile/edge AI with TFLite.

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Remote worldwide
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TensorFlow ML Engineer Keras Developer TFLite Edge AI Engineer TFX Pipeline Engineer ML Model Serving Engineer

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Jobs & Projects

Writer

Posted 1 month ago

AI engineer

Writer

San Francisco, CA

Full-time
English
$198K – $259K / year
Open job
Cresta

Posted 1 month ago

Staff Machine Learning Engineer

Cresta

United States (Remote)

staff
Full-time
English
Open job
Cresta

Posted 1 month ago

Senior Machine Learning Engineer

Cresta

United States (Remote) · also open in 1 other location

senior
Full-time
English
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Cerebras

Posted 2 months ago

Director/Sr. Manager, AI Inference Model Scaling

Cerebras

Sunnyvale, CA

executive
Full-time
English
tensorflow python pytorch machine learning llm +1 more
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Databricks

Posted 2 months ago

Solutions Architect - Strategic High Tech

Databricks

Remote - California; San Francisco, California

Full-time
English
$180K – $248K / year
Open job
Character.AI

Posted 2 months ago

Machine Learning Infrastructure Engineer

Character.AI

Redwood City, CA

Full-time
English
$150K – $350K / year
Open job
S

Posted 2 months ago

Research Scientist

Snorkel AI

New York City, NY (Hybrid); San Francisco, CA (Hybrid); United States (Remote)

Full-time
English
$200K – $375K / year
Open job
Anyscale

Posted 2 months ago

Distributed LLM Inference Engineer

Anyscale

San Francisco

Full-time
English
$170K – $245K / year
tensorflow pytorch deep learning llm distributed systems
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Baseten

Posted 2 months ago

Post-Training Research Engineer

Baseten

San Francisco

Full-time
English
$200K – $275K / year
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Cohere

Posted 2 months ago

Machine Learning Intern/Co-op (Winter 2027)

Cohere

Canada

intern
Full-time
English
tensorflow python machine learning machine learning cuda +1 more
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Role guide

What to expect in remote TensorFlow jobs

TensorFlow remains the preferred framework for enterprise ML deployments, structured pipelines via TFX, and mobile/edge applications via TFLite. Remote TensorFlow jobs typically require production engineering depth — model serving, pipeline orchestration, and cross-platform deployment experience.

What you'll work on

  • Build production ML pipelines with TFX for enterprise data processing
  • Deploy models to mobile or edge devices using TFLite
  • Develop and maintain Keras model architectures for classification or regression tasks
  • Serve ML models at scale with TensorFlow Serving or Vertex AI

What companies look for

  • Experience with Keras functional and subclassing APIs
  • Knowledge of TFX components and production pipeline orchestration
  • TF2 eager execution and SavedModel deployment expertise

Frequently asked questions

Are TensorFlow jobs still available remotely?

Yes. TensorFlow is still widely used in enterprise AI, healthcare, and edge computing. Many large organisations have standardised on TF for its mature deployment tooling — particularly TFX and TFLite.

What is the typical stack for remote TensorFlow roles?

TF2 + Keras for modelling, TFX for pipeline orchestration, TensorFlow Serving or Vertex AI for deployment. Docker and Kubernetes are common for infrastructure. Some roles also involve TFLite for mobile deployment.

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