Senior Backend Engineer: Machine Learning Infrastructure
Tasks
- Collaborate with ML and product teams to build reusable platform capabilities
- Deploy monitor and improve ML infrastructure services
- Design build and operate distributed backend services
- Evaluate technical trade offs and drive system design decisions
- Own core machine learning services and data pipelines end to end
Perks/Benefits
- Apple laptops provided
- Fully remote
- Maternity leave
- Paternity leave
- Team offsites
- Training and development budget
- Unlimited vacation
- Work from home stipend
Skills/Tech-stack
API Design | AWS | Algorithms | Cloud platform | Data Structures | Distributed Systems | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | LLM Inference | Microsoft Azure | Milvus | Model Serving | OpenSearch | PGVector | Python | Qdrant | Terraform | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
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