Data Infrastructure Engineer
Los Angeles, Palo Alto, San Francisco, Toronto
USD 180K-215K (estimate) Mid-level Full Time
Tasks
- Advocate best practices for data infrastructure
- Build data systems for AI applications
- Collaborate with data scientists and machine learning engineers
- Design data infrastructure
- Develop multimodal data processing frameworks
- Maintain data pipelines
- Optimize cloud resource usage
- Optimize storage and computation efficiency
- Plan and manage cloud infrastructure budget
- Support AI model evaluation and productionization
Perks/Benefits
- Access to latest technologies
- Collaborative culture
- Health insurance
- Inclusive work environment
- Professional growth opportunities
Skills/Tech-stack
Batch inference | Cloud Computing | Data Pipelines | Data Processing | Distributed Systems | GPU Computing | PyTorch | Python | TensorFlow
Regions
Countries
States
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