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Browse vetted remote Keras positions — deep learning model development, neural network engineering, and production ML system roles at AI companies.
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Posted 1 day ago
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications an...
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Posted 3 days ago
The OpportunityImaging based phenotyping of in-vitro biology is at the heart of insitro's efforts to accelerate drug development. At insitro, we use m...
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Posted 1 week ago
United States — Phoenix (UTC-7)
Our mission is to make buying a home less of a gamble, and bad listing photos are one of the oldest tricks in the book: wide-angle lenses, heavy filte...
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Every firmware rollout to our wearable fleet risks bricking devices that are already on people's wrists. We're looking for someone to build the valida...
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We serve over 40 game studios who license our simulation models for balancing and testing. We publish internal writeups on what works and encourage en...
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We believe fluency isn't a single score, it's a trajectory, and our learners deserve to see their own progress instead of just a grammar percentage. A...
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I'm the CTO and I'm writing this myself because I want to be specific about what we're building and who will actually thrive here. We make industrial...
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Posted 5 months ago
United States — New York (UTC-4)
We are building a robotic system for automated structural inspection of bridges and tunnels. Our sensor package combines LiDAR, structured light, and...
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We make software that assists radiologists in reviewing chest X-rays and CT scans for pulmonary conditions — specifically early-stage pneumonia, pleur...
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We build inspection AI for manufacturing lines and need a computer vision engineer to develop and improve our defect detection models. Real-world, pro...
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Role guide
Keras is the high-level deep learning API that makes neural network development accessible while remaining production-capable. Remote Keras jobs involve building and training neural network models for classification, regression, NLP, and computer vision. Keras 3 now supports PyTorch, TensorFlow, and JAX backends, making Keras skills broadly transferable.
Is Keras still relevant for remote deep learning jobs?
Yes. Keras 3 now supports multiple backends (TensorFlow, PyTorch, JAX) and is actively maintained. Many companies prefer Keras for its simplicity and productivity, especially for applied ML teams.
Should I learn Keras or PyTorch for remote ML engineering jobs?
Both. PyTorch is dominant in research and LLM engineering. Keras is preferred in teams prioritising rapid model development and TensorFlow integration. Many engineers know both.
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