Y Combinator Software Engineer, Machine Learning Infrastructure
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Summary
Build and deploy ML infrastructure, APIs, and data pipelines; maintain GPU resources and MLOps tooling to productionize audio models.
- Build APIs and microservices
- Deploy machine learning models to production
- Design and maintain data pipelines
- Develop training frameworks for audio models
- Evaluate and integrate MLOps technologies
- Implement monitoring, logging, and alerting
- Manage cloud resources and GPU utilization
- Set up model serving and performance monitoring
- Support data labeling and data preparation
- Translate research prototypes into production pipelines
Perks/Benefits:
- 401k access
- Flexible PTO
- Health, dental, vision coverage
- Paid meals