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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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Apify is a marketplace of ready-to-run tools for AI that automate work on the web. Thousands of Actors get web data, generate leads, monitor social me...
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Posted 3 weeks ago
Software Engineering Manager -Data Platform
Motional
Boston, Massachusetts, United States; Remote U.S.
We are seeking an experienced and visionary Staff Level Technical Lead Manager to build and lead our new Data Platform team. This pivotal role will dr...
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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You'll build the cloud infrastructure that turns the open web into data: the platform beneath Firecrawl's crawling, scraping, and search products. We...
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Posted 3 weeks ago
Senior Engineer, ML Data Services
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
We are seeking a Senior Engineer to join our ML Data Services team and help us build and improve data infrastructure for Autonomy ML teams. As a Senio...
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Posted 3 weeks ago
Senior Full Stack Engineer, Data Mining
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-gen...
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Our mission is to make the world programmable. Sight is one of the key ways we understand the world, and soon this will be true for the software we us...
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Posted 3 weeks ago
Senior Software Engineer, Data Platform
Motional
Boston, Massachusetts, United States; Las Vegas, Nevada, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
The Data Platform team is the vital link between our company's expansive data and the engineering teams that rely on it. We architect and operate the...
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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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Posted 3 weeks ago
Principal Machine Learning Engineer, Data Mining
Motional
Boston, Massachusetts, United States; Pittsburgh, Pennsylvania, United States; Remote U.S.
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-gen...
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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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