Senior Staff Machine Learning Engineer, Trust
Tasks
- Architect production ML systems
- Build machine learning models for risk
- Collaborate on ML requirements and prioritization
- Define ML technical vision
- Drive engineering decisions and measure impact
- Lead large-scale ML initiatives
- Mentor ML engineers
- Operate batch and real time inference
- Productionize ML models and pipelines
- Tackle fraud detection use cases
- Use structured and unstructured data
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | API Design | Agentic AI | Anomaly Detection | B testing | Batch Processing | Boosted Trees | C++ | Computer Vision | Data Pipelines | Deep learning | Feature Engineering | Feature Selection | Gradient Boosted Trees | Java | Kubernetes | Language Models | Language Processing | Large Language Models | Machine Learning | Model Deployment | Natural Language | Natural Language Processing | Neural Networks | Optimization | PyTorch | Python | Real Time | Real-time Processing | Recommender Systems | Scala | TensorFlow | Test-Driven | Test-Driven Development | Time processing | Training-serving skew
Education
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