Staff Machine Learning Engineer, Fraud & Abuse

The Staff Machine Learning Engineer in Fraud and Abuse will design, build, and evolve machine learning systems to safeguard Block's ecosystem from fraud, abuse, and other malicious activity.

Requirements

• 12+ years of experience in software development
• Technical initiative and leadership on previous machine learning projects
• Experience shaping AI practices and driving adoption of AI-first workflows
• Ability to work autonomously in the rapidly evolving world of ML
• Hands-on experience with Python, Java, Kotlin, TensorFlow, PyTorch, AWS, Databricks, Kubernetes, MySQL, DynamoDB, Kafka, Spark

Benefits

• Healthcare coverage
• Health Savings Account and Flexible Spending Account
• Retirement Plans including company match
• Employee Stock Purchase Program
• Wellness programs
• Paid parental and caregiving leave
• Paid time off
• Paid sick leave
• Learning and Development resources
• Paid Life insurance, AD&D, and disability benefits