Staff ML Engineer
Tasks
- Build ML experimentation systems
- Define success metrics for ML
- Deploy models to edge devices
- Design ML training platforms
- Ensure ML security posture
- Harden ML infrastructure
- Implement regression testing
- Lead ML architecture and strategy
- Manage observability for ML systems
- Mentor engineers and scientists
- Operate batch inference systems
- Operate online inference systems
- Plan training and inference capacity
- Provide ML developer experience
- Run A/B tests
- Run offline evaluations
- Standardize experiment tracking
Perks/Benefits
- Comprehensive health coverage
- Employee remote model
- Parental leave
- Professional development stipend
- Remote work flexibility
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Batch inference | Computer Vision | Deployment Monitoring | Distributed Computing | Docker | Drift Detection | Edge Computing | Experiment tracking | Kubernetes | LLM | Machine Learning | Model Deployment | Model Drift | Model Drift Detection | Model Registry | Observability | Offline evaluation | Online Inference | Ray | Regression testing | SLOs | Security | Spark
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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