Backend Engineer, Applied Machine Learning Platform
Summary
Builds and maintains the backend infrastructure for a machine learning platform, including distributed systems, data pipelines, and model deployment, while collaborating with data scientists.
- Build scalable distributed computing processes
- Collaborate with data scientists on tooling
- Deploy machine learning models
- Design machine learning platform functions
- Develop data processing pipelines
- Evaluate emerging technologies for platform improvements
- Monitor platform operations
- Perform feature engineering
- Provide technical support for machine learning teams
- Train machine learning models
- Troubleshoot platform-related issues