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Browse remote AWS positions at AI companies — SageMaker ML platform engineering, cloud AI infrastructure, and MLOps on AWS.
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Posted 4 months ago
Applications closedVelmox Data
Remote
Chicago, United States (UTC-6)
We process 80TB of training data per month for ML teams at 45 enterprise clients. Duplicated and near-duplicated training examples are one of the lead...
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Posted 4 months ago
Applications closedVelvix Labs
Remote
Los Angeles, United States (UTC-8)
The core problem of AI safety isn't aligning today's systems — it's maintaining alignment as capabilities scale. Scalable oversight is one of the most...
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Posted 4 months ago
Applications closedOntix Intelligence
Hybrid
Chicago, United States (UTC-6)
Thermal cameras see what RGB cameras miss. A PCB with a failing solder joint looks normal in visible light but glows in infrared. A pharmaceutical tab...
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Posted 4 months ago
Applications closedOrbio AI
Remote
Los Angeles, United States (UTC-8)
Classifying genomic variants as pathogenic, benign, or variant of uncertain significance (VUS) is one of the most consequential ML problems in medicin...
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Posted 4 months ago
Applications closedOrvion Systems
Remote
New York, United States (UTC-5)
Cold chain failures cost the pharmaceutical industry $35 billion annually. A temperature excursion lasting 4 hours during a transcontinental shipment...
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Posted 4 months ago
Applications closedPelvex Tech
Remote
Los Angeles, United States (UTC-8)
Our game platform has 4.2 million registered players and a 30-day retention rate of 34%. The industry benchmark for comparable games is 41%. That 7-po...
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Posted 4 months ago
Applications closedPrixel Labs
Remote
New York, United States (UTC-5)
What does it mean to truly understand a scene? Our platform processes 3D scans, RGB images, and sparse depth maps from 60 enterprise clients in archit...
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Posted 4 months ago
Applications closedRelvix Data
Remote
New York, United States (UTC-5)
We have 400 million data assets in our catalog — tables, columns, models, dashboards, pipelines — and about 15% of them have meaningful metadata: desc...
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Posted 4 months ago
Applications closedRolvex Solutions
Remote
Los Angeles, United States (UTC-8)
Canary deployments exist to catch problems before they affect 100% of traffic. The problem is that most canary analysis is manual: an engineer watches...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
Our platform runs 14,000 ML training jobs per month across a Kubernetes cluster shared by 38 product teams. Every job burns GPU hours that cost real m...
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Role guide
AWS is the most widely used cloud platform for AI companies. Remote AWS jobs in this space combine cloud engineering with ML infrastructure knowledge — SageMaker for model training and deployment, S3 and Glue for data pipelines, and Lambda or ECS for serving. Engineers who bridge cloud architecture and ML system design are consistently in demand.
What AWS jobs are available remotely at AI companies?
Cloud engineering roles focused on ML infrastructure — SageMaker pipelines, data lake architecture on S3, and AI service integration. Many also involve ECS or EKS for container orchestration.
Do remote AWS AI jobs require SageMaker experience?
For ML-focused roles, SageMaker experience is a strong advantage. General cloud engineering roles may focus on ECS/EKS, Lambda, or data services instead. Check listings for the specific service stack.
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