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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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Posted 4 days ago
Lead Applied Value Engineer - AI & Process Intelligence Consultant
Celonis
Remote, United Arab Emirates
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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The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering...
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Rebuild how the world works, to make institutions work better for the people they serve. About Brain Co. Brain Co. builds AI-native operating systems...
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are en...
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Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Posted 2 weeks ago
Principal Software Engineer, Team Lead - Perception Platforms
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 to make self-driving vehicles a reality...
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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
Machine Learning Engineer - Inference Maintainer & Developer Experience
Roboflow
NY, SF or Remote
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 HPC Cluster Engineer
Nebius
Madrid, Spain; Remote - Europe; United Kingdom
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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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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