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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 closedRolvex Solutions
Hybrid
Los Angeles, United States (UTC-8)
Traffic shadowing is how you validate a new model against production traffic before it touches users: mirror live requests to the candidate model, rec...
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Posted 4 months ago
Applications closedMivex Cloud
Remote
Los Angeles, United States (UTC-8)
A 70B parameter model that fits in theory doesn't always fit in practice. GPU memory fragmentation, activation checkpointing decisions, optimizer stat...
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Posted 4 months ago
Applications closedOntix Intelligence
Remote
Detroit (UTC-5)
Dimensional measurement on a manufacturing line currently requires a human with calipers, a CMM machine with setup time measured in hours, or a struct...
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Posted 4 months ago
Applications closedLontex Tech
Remote
Los Angeles, United States (UTC-8)
Speculative decoding is one of the most impactful LLM serving optimizations of the past two years: use a small draft model to generate candidate token...
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Posted 4 months ago
Applications closedLyrex Data
Remote
London, United Kingdom (UTC+0)
Data contracts solve the 'my pipeline broke because upstream changed the schema' problem — but only if you can track what version of the contract each...
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Posted 4 months ago
Applications closedGravex Cloud
Remote
Chicago, United States (UTC-6)
Three months ago, a model in production was making predictions that degraded silently for 11 days before anyone noticed. The postmortem showed the roo...
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Posted 4 months ago
Applications closedInfera Cloud
Remote
Los Angeles, United States (UTC-8)
We process 4 petabytes per month across our clients' data lakes, and the query costs that land on their AWS bills every month are rarely what anyone e...
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Posted 4 months ago
Applications closedJaltrix Data
Remote
Chicago, United States (UTC-6)
Labeling data is expensive. Our clients spend $0.04-$0.12 per labeled example and produce 50,000 new labels per week, which means annotation budgets a...
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Posted 4 months ago
Applications closedKolvex Cloud
Remote
New York, United States (UTC-5)
Cloud migration cost estimates are notoriously wrong. A Fortune 500 company in our client book budgeted $2.8M for a workload migration and spent $6.1M...
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Posted 4 months ago
Applications closedCeltrix AI
Remote
Los Angeles, United States (UTC-8)
Our wearable devices generate inference logs, power consumption metrics, and model accuracy signals continuously — but right now that data sits on dev...
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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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