Related skills
python tensorflow pytorch airflow scikit-learn📋 Description
- Partner with product, eng, data science, policy, and ops to deploy ML risk solutions at scale
- Own end-to-end ML systems from problem definition to deployment and monitoring
- Lead technical decisions within workstreams and influence ML strategy
- Build tooling to speed and improve reliability of the ML lifecycle
- Apply state-of-the-art modeling and third-party data to improve detection and decisions
- Investigate emerging fraud, abuse, and risk patterns to inform safeguards and policy
🎯 Requirements
- 2+ years of ML, applied AI, or related fields
- Bachelors in a quantitative field; Master/PhD preferred
- Proven experience deploying ML solutions in production
- Strong familiarity with tree-based models, deep learning, transfer learning, or RL
- Technologies: Python, PyTorch, TensorFlow, scikit-learn, XGBoost, PySpark, Airflow
- Experience influencing technical direction and collaborating with cross-functional partners at scale
🎁 Benefits
- Remote work options
- Medical insurance
- Flexible time off
- Retirement savings plans
- Family planning support
- Check out Block benefits page
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