Staff ML Engineer
Tasks
- Build machine learning features for revenue management
- Define and track service level objectives
- Deploy machine learning models to production
- Design data pipelines
- Ensure reliability scalability and quality of ML systems
- Establish ML testing strategies
- Implement and validate machine learning models
- Mentor team members and drive technical consensus
- Monitor model performance and drift
- Optimize hotel pricing decisions
Perks/Benefits
- Home office stipend
- Manager training
- PTO
- Paid parental leave
- Professional development courses
- Remote always
- Remote-first
- Upskilling and knowledge transfer
- Wellness Fridays
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Flink | CI/CD | Clean Code | Code review | Data Validation | Distributed Systems | Docker | Drift Detection | Experiment design | Kubernetes | MLOps | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Pricing Optimization | Python | Revenue Management | SQL | Statistical Analysis | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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