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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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Posted 4 months ago
Applications closedSynta Cloud
On-site
Chicago, United States (UTC-6)
Vibration-induced failures cost our manufacturing clients an average of $280k per unplanned shutdown. Our existing predictive maintenance models catch...
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Posted 4 months ago
Applications closedAxion Labs
Remote
New York, United States (UTC-5)
Our mission is to shorten the drug discovery timeline from 12 years to under 5. The models you build here aren't benchmarks — they're decision inputs...
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Posted 4 months ago
Applications closedUlara AI
Hybrid
Los Angeles, United States (UTC-8)
Every voice assistant starts with a wake word. 'Hey Aria', 'OK Nova', 'Wake up' — the decision to activate or stay silent runs on a model deployed dir...
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Posted 4 months ago
Applications closedNelvix Labs
Hybrid
New York, United States (UTC-5)
Court reporters transcribe legal proceedings at 225 words per minute with 98.5% accuracy. Our AI does it at infinite words per minute with 95% accurac...
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Posted 4 months ago
Applications closedReltrix Studio
Remote
Los Angeles, United States (UTC-8)
We're building AI tools for music producers — not to replace them, but to accelerate their creative process. Our platform generates drum patterns, cho...
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Posted 4 months ago
Applications closedCeltrix AI
Remote
Los Angeles, United States (UTC-8)
Our smart agriculture sensors sit in fields across 6 states, running CV models on low-power ARM processors with no internet connection. They detect cr...
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Posted 5 months ago
Applications closedAevix Cloud
Remote
New York, United States (UTC-5)
Our clients' models work. They're just too expensive to run. A single inference call costs $0.12 when it should cost $0.003. Latency is 800ms when the...
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Posted 5 months ago
Applications closedDravix Studio
Remote
Los Angeles, United States (UTC-8)
We're building AI tools for podcast producers — automatic transcription, speaker diarization, content summarization, and smart clip extraction. Our pl...
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Posted 5 months ago
Applications closedCeltrix AI
Hybrid
Los Angeles, United States (UTC-8)
A single unplanned machine failure on an automotive assembly line costs $22,000 per minute of downtime. Our predictive maintenance system fuses data f...
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Posted 5 months ago
Applications closedNelvix Labs
Remote
Los Angeles, United States (UTC-8)
Voice activity detection sounds like a solved problem until you encounter a construction site, a busy café, or a car with the windows down at highway...
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Role guide
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.
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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