Senior/Staff Machine Learning Engineer
San Jose, California, United States
USD 223K-268K Senior-level Full Time
Tasks
- Build feature pipelines and training workflows
- Collaborate with risk operations on investigation workflows
- Design build deploy machine learning risk models
- Develop LLM agents for risk operations
- Ensure permission controls audit logs and data privacy
- Evaluate LLM agent accuracy and reliability
- Handle incident response and alerts
- Implement tool calling and retrieval augmented generation
- Improve model explainability and labels
- Maintain explainable traceable documented model outputs
- Monitor models detect drift retrain
- Orchestrate agent workflows with structured outputs
- Own production machine learning systems end to end
- Serve models and integrate decision systems
- Translate models into production risk controls
Perks/Benefits
Skills/Tech-stack
API Integration | Anomaly Detection | Class Imbalanced Modeling | Databases | Drift Detection | Evaluation Frameworks | Guardrails | Human-in-the-loop | Incident Response | LLM Agents | LightGBM | Machine Learning | Memory | Model Drift | Model Drift Detection | Model Evaluation | Model Explainability | Model calibration | Observability | Prompt engineering | PyTorch | Python | Representation Learning | Retrieval-Augmented Generation | SHAP | Scikit-learn | Search tools | Structured outputs | Supervised Learning | TensorFlow | The Loop | Tool-Calling | Workflow Orchestration | XGBoost
Education
N/A
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