Related skills
terraform aws python kubernetes pytorch📋 Description
- Own the EDA platform end-to-end: architecture, infra, features
- Optimize for scale: vector search and query performance
- Build for researchers: enable data sourcing and evaluations
- Enable cross-functional workflows with design/product/creative teams
- Manage infrastructure: ECS/Kubernetes, embedding services
- Provide user support: debug issues and gather feedback
🎯 Requirements
- 4+ years backend software engineering
- Strong in at least 2 of 3 areas: infra, ML, frontend/product
- Platform/infrastructure: vector databases; SQS, ECR, Kinesis; Kubernetes/ECS
- ML domain knowledge: ML workflows, training, evaluation, data management
- Product engineering: TS/React experience a plus
- Comfortable with production infra; self-starter; adaptable
🎁 Benefits
- Salary range: 240,000-290,000 USD
- Remote-friendly, global team
- Opportunities to influence ML research tooling
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