Staff ML Engineer
Tasks
- Build pricing decision features
- Define reliability scalability and quality metrics
- Develop distributed machine learning systems
- Establish ML testing strategies
- Implement ML data pipelines
- Monitor model performance and drift
- Optimize revenue management insights
- Own end-to-end ML development
- Train, validate, and deploy ML models
Perks/Benefits
- Fully paid parental leave
- Home office stipend
- Monthly Wellness Fridays
- PTO
- Professional development access
- Professional development courses
- Remote always
- Remote-first
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | CI/CD | Code review | Data Modeling | Data Processing | Data Validation | Distributed Systems | Docker | Drift Detection | Experimental Design | Flink | Kubernetes | Large Scale Data | Large-scale | Large-scale Data Processing | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Performance Testing | Python | SQL | SQL Data | SQL Data Modeling | Statistics | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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