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Browse remote TensorFlow positions — production ML pipelines, Keras model development, TFX workflows, and mobile/edge AI with TFLite.
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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Posted 3 weeks ago
Senior Engineer - Perception Modeling
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
On our Perception team, you have the opportunity to work with world-class ML engineers and research scientists, whose mission is to make self-driving...
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Machine intelligence will soon take over humanity’s role in knowledge-keeping and creation. What started in the mid-1990s as the gradual off-loading o...
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems....
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First and most importantly: our mission is to bring transparency and clarity to the world's data. Our platform, Voxel51, is where AI work happens. Our...
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Owkin is an agentic AI company pioneering Biological Artificial Superintelligence to solve problems in biology where human researchers alone have fail...
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Posted 3 weeks ago
Technical Customer Support (L1)
Vast.ai
Mexico Remote · also open in 1 other location
Vast.ai’s cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing—reshaping our future for th...
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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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