Staff ML Engineer
Tasks
- Build ML features for revenue management
- Collaborate with product and engineering teams
- Define SLIs and SLOs
- Deploy ML models to production
- Design scalable distributed ML systems
- Develop end-to-end ML pipelines
- Establish ML testing strategies
- Implement and validate ML models
- Monitor model performance and drift
Perks/Benefits
- Home office stipend
- PTO
- Paid parental leave
- Professional development
- Remote always
- Remote-first
- Wellness Fridays
Skills/Tech-stack
AWS | Amazon SageMaker | Apache Airflow | Apache Flink | CI/CD | Clean Code | Code review | Data Validation | Docker | Kubernetes | MLOps | MLflow | Machine Learning | Model Monitoring | Performance Testing | Python | SQL | Version control
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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