Software Engineer, MLOps - Machine Learning
San Francisco, California, United States
USD 162K-216K Mid-level Full Time
Tasks
- Automate model monitoring retraining redeployment
- Build and maintain MLOps infrastructure
- Build self serving ML workflows
- Collaborate to identify automation opportunities across the ML lifecycle
- Create scalable batch prediction and real time workflows
- Design and maintain distributed ML systems
- Detect model drift
- Develop and productionize machine learning models
- Enable ML capabilities for operational decision making
- Implement batch processing caching and data movement
- Implement experiment tracking and model lifecycle management
- Improve scalability performance reliability of ML infrastructure
- Integrate ML platform with transportation management platform
- Run champion challenger testing and A B testing
Perks/Benefits
- 401k matching
- Collaborative tech forward office
- Employee stock purchase plan
- Hybrid work schedule
- Long-term incentive plan
- Medical/Dental/Vision insurance
- Performance bonus
Skills/Tech-stack
A/B | A/B Testing | AWS | B testing | Batch Prediction | Batch Processing | Caching | Data Engineering | Distributed Computing | Distributed Training | Drift Detection | Experiment tracking | Feature Store | Kubernetes | MLOps | Machine Learning | Model Drift | Model Drift Detection | Model Monitoring | Model Serving | Model retraining | Python | SQL
Education
N/A
Roles
Regions
Countries
States
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