Block's Chargeback Risk Machine Learning team needs to build machine learning models and systems to detect, intervene on, and reduce fraudulent activity across Block's Cash App and Square ecosystems to safeguard against financial loss and provide trustworthy financial experiences.
Requirements
- 3+ years of machine learning experience
- Hands-on experience independently designing, deploying, and troubleshooting ML solutions using methods such as tree-based models, deep learning, transfer learning, or reinforcement learning.
- Proficiency in modern ML stacks such as: PySpark, PyTorch, MLflow, GCP Vertex AI, Workflow orchestration tools (i.e. Airflow, Prefect)
- Proficiency with containerization, cloud platforms (AWS, GCP), and CI/CD practices.
- Experience collaborating with cross-functional teams to prioritize, scope, and deploy ML/AI solutions at scale
Responsibilities
- Partner with product, engineering, data science, policy, and operations to design and productionize ML-driven solutions to fight fraud at scale
- Develop tooling and processes to improve the effectiveness and speed of the ML development lifecycle
- Investigate and use state-of-the-art modeling algorithms and third-party data sources to boost model performance
Other
- Become a risk domain expert and expert to lead strategy and planning on your workstreams.
- Contribute positively to our team culture as a collaborative, empathetic, and reliable teammate.
- A degree (preferably graduate level) in Computer Science, Engineering, Statistics, Physics, Applied Math or a related technical field
- Experience helping your teammates grow through mentorship and providing constructive feedback.
- A natural sense of curiosity, and experience with Block's mission of economic empowerment.
