Top Hybrid Data Engineer Jobs in San Francisco, CA

The Data Scientist in Model Risk Management will validate machine learning models, develop automation tools, and ensure compliance with regulatory requirements. Responsibilities include building reusable validation components, tracking model performance, and collaborating with teams to enhance model governance frameworks.

The role involves shaping the technical vision for credit and underwriting platforms at Cash App, mentoring engineers, and ensuring system reliability and maintainability. The position requires hands-on coding and leadership in large-scale projects, while collaborating with various stakeholders to enhance engineering systems and improve product features.

As a Staff Machine Learning Engineer on the Risk team at Cash App, you will develop ML solutions to mitigate risk and fraud. This involves collaborating across departments to balance financial loss, regulatory compliance, and customer experience while utilizing extensive transaction data for analysis.

This role involves leveraging advanced analytics and GenAI techniques to drive insights and decision-making for clients. As a Senior Manager, you will manage and guide teams through complex GenAI projects, ensuring the development of effective solutions while fostering team growth and client collaboration. Responsibilities include coaching, managing operations, conducting presentations, and leading business development in GenAI.

As a Senior Machine Learning Engineer at Cash App, you will develop machine learning solutions for risk management and fraud mitigation, working collaboratively with cross-functional teams. You will utilize your expertise in machine learning algorithms and data analysis to enhance product offerings for a diverse customer base.