Senior Machine Learning Engineer - Forecasting
US - California - Thousand Oaks - Field/Remote, United States
R
USD 156K-211K Senior-level Full Time
Tasks
- Build forecasting pipelines
- Deploy and maintain batch and real time inference
- Design scalable machine learning systems
- Develop data pipelines and feature engineering workflows
- Enable decision support with scenario analysis
- Implement MLOps with model versioning and retraining
- Improve code quality documentation and reproducibility
- Monitor models for performance and drift
- Own end-to-end ML lifecycle
- Productionize forecasting models
- Research and evaluate ML tools and methodologies
- Support model integration testing and deployment
Perks/Benefits
- Annual bonus program
- Award-winning time-off plans
- Comprehensive benefits package
- Flexible work models
- Health, dental and vision coverage
- Life and disability insurance
- Retirement and savings plan
- Stock-based long-term incentives
Skills/Tech-stack
Automated retraining | Bayesian Modeling | CI/CD | Data Pipelines | Data Processing | Distributed data | Distributed data processing | Docker | Drift Detection | Feature Engineering | Kubernetes | MLOps | Machine Learning | Model Governance | Model Monitoring | Model Serving | Observability | Probabilistic Forecasting | PyTorch | Python | SQL | Scikit-learn | TensorFlow | Workflow Orchestration
Regions
Countries
States
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