Staff ML Engineer
Tasks
- Build ML features for revenue management
- Collaborate with product and engineering teams
- Define SLIs SLOs and improve reliability
- Design and maintain production distributed ML systems
- Develop and validate ML models for production
- Establish ML testing practices
- Implement ML pipelines and data validation
- Monitor models for drift and performance
- Optimize pricing decisions using ML
Perks/Benefits
- Home office stipend
- PTO
- Paid parental leave
- Professional development
- Remote-first work environment
- Wellness Fridays
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | CI/CD | Data Pipelines | Data Validation | Distributed Systems | Docker | Drift Detection | Experimental Design | Kubernetes | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Orchestration | Performance Testing | Python | SQL | Statistical Analysis
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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