Machine Learning Engineer (Modeling), Families Risk

Cash App is a dynamic ecosystem developing unique financial products to redefine the world's relationship with money. The role involves building machine learning models to detect and prevent risky or abusive activity in the Cash Families product, ensuring a secure ecosystem for families.

Responsibilities:

• Build machine learning models to detect and act against risky or abusive activity across the Cash Families product
• Collaborate cross-functionally with engineering, product, and operations teams to design systems and features to protect and maintain trust with our customers
• Work closely with the ML Engineering teams who build the systems that allow our models to operate at scale and in real time
• Research emerging risks and behavioral patterns in financial activity to proactively shape safeguards and policy
• Contribute to the growth of our modelling capabilities through mentoring and supporting fellow modellers
• Exercise a high level of autonomy and responsibility, owning your solutions from design through to operation

Requirements:

• Bachelor's degree in a quantitative field such as Mathematics/Statistics/Physics or Machine Learning
• 5+ years of experience in machine learning, artificial intelligence, or a related field
• Strong knowledge of machine learning algorithms and data analysis techniques
• Excellent problem-solving skills and attention to detail
• Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders
• Masters or PhD preferred