Software Engineer, Systems & ML Infrastructure - MSL FAIR Foundations
Tasks
- Build APIs and developer tools for evaluations
- Build scalable infrastructure for running evaluations
- Develop orchestration and scheduling systems
- Implement automated failure recovery
- Improve reliability with testing and observability
- Manage datasets and model artifacts
- Monitor correctness and performance
- Perform capacity planning and performance optimization
- Translate evaluation requirements into reusable platform capabilities
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Backend Development | C++ | Cloud infrastructure | Cluster scheduling | Containerization | Data Management | Distributed Systems | Incident Response | Learning operations | Machine Learning | Machine Learning Operations | Observability | Performance Profiling | Performance optimization | Python | Resource Management | Resource efficiency | Scheduling | Testing | Workflow Orchestration
Education
Regions
Countries
States
Cities
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