Machine Learning Engineer
Tasks
- Build and maintain end to end ML lifecycle workflows
- Build tooling for monitoring model performance and system reliability
- Deploy and maintain model training and inference systems
- Design build and improve training pipelines
- Design, build, and improve data pipelines
- Establish ML operations deployment and performance best practices
- Identify bottlenecks in ML workflow and automate processes
- Improve data processing and annotation workflows
- Improve scalability observability and reproducibility
- Optimize ML infrastructure for speed reliability and cost efficiency
- Productionize machine learning models
Perks/Benefits
- Company offsites
- Dental insurance
- Equity
- Flexible PTO
- Medical insurance
- Startup culture
- Vision insurance
Skills/Tech-stack
Data Annotation | Data Pipelines | Data Processing | Debugging | Infrastructure Optimization | MLOps | Machine Learning | Model Deployment | Model Monitoring | Observability | Performance Monitoring | Reliability Engineering | Reproducibility | Scalability | Training pipelines
Education
N/A
Regions
Countries
States
Cities
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