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The Staff Machine Learning Engineer will enhance batch inference services and tooling for financial crime detection, work on infrastructure for model development, and lead AI/ML initiatives within Cash App. Responsibilities include collaborating with various teams, developing prototypes, and driving strategic roadmaps.

The Governance Lead will manage Cash App's governance frameworks, overseeing compliance program administration and ensuring effective change management processes. The role involves collaborating with various internal teams and maintaining regulatory knowledge to support compliance initiatives and manage audits and inquiries. Excellent presentation and communication skills are crucial, as this position involves engaging with senior management and ensuring timely action on compliance matters.

As a Software Engineer at Cash App, you will be responsible for creating and improving the Cash App Investing platform and infrastructure. You will partner with various teams to enhance the platform, learn about securities trading regulations, design systems, and uphold high engineering standards. The technologies used include Java, Kotlin, AWS, gRPC, Kafka, and more.

Seeking a Finance & Strategy Senior Analyst to join Block and help build Cash App, focusing on trust and financial operations. Responsibilities include financial analysis, forecasting, ad-hoc analysis, and presenting results to stakeholders.

As a Software Engineer at Cash App, you will be responsible for creating and improving the Cash App Investing platform and infrastructure. You will work on developing end-to-end investing experiences for customers and contribute to platform improvements to enhance robustness and scalability. This role requires partnering with various teams, maintaining high engineering standards, and participating in on-call rotations.

The Senior Machine Learning Engineer will design and build services for ML modelers, integrate data streams to create efficient models, and lead MLOps initiatives. The role involves collaborating with various teams to enhance ML tools and infrastructure while maintaining production software and developing new solutions.