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Browse remote Docker positions — containerisation for AI systems, MLOps infrastructure, and DevOps engineering at AI-first companies.
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Posted 5 months ago
Applications closedUlara AI
Remote
Los Angeles, United States (UTC-8)
Text-to-speech has solved intelligibility. The remaining frontier is naturalness — the subtle patterns of stress, rhythm, pacing, and intonation that...
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Posted 5 months ago
Applications closedUlvex Systems
Remote
New York, United States (UTC-5)
A distributed trace with 3,000 spans is technically observable but practically unreadable. On-call engineers staring at a waterfall of spans during an...
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Posted 5 months ago
Applications closedUnvix Works
Remote
Chicago, United States (UTC-6)
Data pipelines break at 3 AM and nobody finds out until a stakeholder notices wrong numbers in a dashboard the next morning. Data reliability engineer...
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Posted 5 months ago
Applications closedTelvion Labs
Remote
New York, United States (UTC-5)
Synthetic data is only as useful as the privacy guarantees it provides. If a synthetic dataset leaks information about the individuals it was generate...
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Posted 5 months ago
Applications closedTolvex Studio
Remote
Los Angeles, United States (UTC-8)
Our AI creative platform helps marketing teams produce ad copy, product descriptions, email subject lines, and social content at scale. The platform h...
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Posted 5 months ago
Applications closedOntix Intelligence
Remote
London, United Kingdom (UTC+0)
Pharmaceutical companies spend $2M per compound just on microscopy analysis during drug discovery — most of it on a human expert scrolling through 40,...
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Posted 5 months ago
Applications closedPelvex Tech
Remote
Los Angeles, United States (UTC-8)
Every NPC in every game ever made says the same 12 lines. Players memorize them, stop listening, and the world stops feeling alive. We're replacing th...
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Posted 5 months ago
Applications closedPrixel Labs
Remote
Los Angeles, United States (UTC-8)
Neural radiance fields changed what's possible in 3D reconstruction — but the original NeRF pipeline takes 12 hours to train and another 2 to render a...
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Posted 5 months ago
Applications closedQuelva Works
Remote
Berlin, Germany (UTC+1)
Most organizations have no idea how their processes actually run. They know how they're supposed to run — that's in the documentation. But the real pr...
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Posted 5 months ago
Applications closedRavio Tech
Remote
Los Angeles, United States (UTC-8)
Our platform generates synthetic test data and AI-powered test cases for software QA teams. We have 1,100 clients using it, and the most common feedba...
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Role guide
Docker is the foundation of modern AI deployment infrastructure. Remote Docker jobs at AI companies involve containerising ML models, building reproducible training environments, and managing deployment pipelines. Engineers with Docker experience who also understand ML workflows are particularly in demand.
What Docker skills do AI companies typically require?
Multi-stage builds, GPU container configuration, Docker Compose for local development, and integration with CI/CD pipelines. MLOps-focused roles often require Kubernetes knowledge on top of Docker.
Can I get a remote Docker job without Kubernetes experience?
Yes — especially at smaller companies or for roles focused on development environments rather than production orchestration. As companies scale, Kubernetes becomes increasingly expected.
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