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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 2 months ago
Cluster Operations Software Engineer
Cerebras
Sunnyvale, CA
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Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training...
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Posted 2 months ago
Infrastructure Security Engineer
ElevenLabs
United Kingdom
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ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like A...
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Posted 2 months ago
Member of Technical Staff (Machine Learning Engineer)
Reka
Remote
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Translate cutting-edge research into production-ready machine learning systems Design, build, and deploy end-to-end ML models and pipelines Develop an...
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Posted 2 months ago
Software Engineer, Infrastructure Security
Notion
San Francisco, California
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Notion is the collaborative AI workspace where teams and agents think together. We're building one place where your knowledge, projects, meetings, and...
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DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 busines...
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Posted 2 months ago
Software Engineer, Applied ML (Discovery, Recommendation & Search)
Character.AI
Redwood City, CA
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As a Software / ML Engineer you will work cross functionally with product, data science and data platform to identify, design and implement the applie...
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Posted 2 months ago
Software Engineer, Backend
Character.AI
Redwood City, CA
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We are looking for a talented and motivated Backend Engineer to join our team. You will be responsible for building and maintaining scalable, high-per...
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Posted 2 months ago
Senior Technical Account Manager - Federal
UiPath
Remote-Virginia
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The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading ent...
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Posted 2 months ago
Senior AI Platform Engineer
Relevance AI
Sydney, Australia
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Location 📍: Sydney, AU, Hybrid (3 days in office required) At Relevance AI, we’re building the home of the AI workforce. Our mission is simple: empow...
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At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform in...
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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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