Software Engineer, ML Infrastructure - Training Platform
Skills
- Machine learning fundamentals
- Backend system design
- ML Infrastructure experience
- Python, Docker, Kubernetes
Responsibilities
- Build highly available and performant APIs for model training.
- Participate in on-call process for service availability.
- Own projects from requirements to implementation in a collaborative environment.
Benefits
- Comprehensive health, dental and vision coverage
- Retirement benefits
- Learning and development stipend
- Generous PTO
Average salary estimate
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