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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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Our mission is simple: deliver seamless, secure, reliable, and resilient AI compute at scale. We've built a versatile cloud platform that eliminates i...
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Posted 3 weeks ago
Principal Technical Lead Manager - AI Data Applications
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
We are seeking an experienced and visionary Principal Technical Lead Manager to build and lead our new AI Data Application team. This pivotal role wil...
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Posted 3 weeks ago
Senior Data Scientist, Systems Performance
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
The Systems Readiness and Performance team is the crucial bridge between software development and real-world deployment. We are responsible for drivin...
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Posted 3 weeks ago
ML Infrastructure Engineer
Nebius
Amsterdam, Netherlands; Remote - Europe; Remote - United States
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers...
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Prolific is not just another player in the AI space – we are the architects of the human data infrastructure that's reshaping the landscape of AI deve...
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Work on large-scale solutions for mining challenging driving scenarios to boost learned model performance across various autonomous driving tasks. Col...
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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowl...
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Posted 3 weeks ago
Director of Data Science
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
Motional is a leading autonomous driving company on a mission to make driverless vehicles a safe, reliable, and accessible reality. Backed by Hyundai...
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Posted 3 weeks ago
Principal Engineer, Data & ML Infrastructure
Motional
Boston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
We are seeking a highly skilled and motivated Principal Engineer for our large-scale autonomous vehicle evaluation framework. The ideal candidate will...
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Role guide
What to expect in remote AWS jobs
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 you'll work on
- Deploy and monitor ML models using SageMaker endpoints and pipelines
- Build scalable data ingestion and processing pipelines with S3 and Glue
- Design cost-efficient ML training infrastructure on EC2 GPU instances
- Create serverless AI feature APIs using Lambda and API Gateway
What companies look for
- SageMaker experience — training jobs, endpoints, and pipelines
- Strong AWS fundamentals — IAM, VPC, S3, EC2, ECS, Lambda
- Infrastructure-as-code with Terraform or CDK
Frequently asked questions
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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