Senior Machine Learning Engineer focused on AI Personalization, developing and deploying large-scale, low-latency models and agentic systems for user personalization across Block's ecosystem. The role involves leading strategic initiatives, establishing quality practices, and collaborating with cross-functional teams, with a strong emphasis on production deployment and experimentation.

Staff Machine Learning Engineer for Square Financial Services' Credit and Lending team. This role focuses on building and deploying ML models for credit underwriting, involving full-stack ownership from data curation to decisioning logic integration. The position operates at the intersection of regulated banking and autonomous systems, aiming to expand underwriting capabilities into new customer segments through advanced modeling and policy evolution. Responsibilities include applying scientific methods to new data sources, leading ML Ops initiatives, designing the full credit modeling stack, leveraging data science for new data, improving credit policy, supporting existing models, and operating within a regulated banking framework.

Staff Machine Learning Engineer for Square Financial Services' Credit and Lending team. This role focuses on building and deploying ML models for credit underwriting, involving full-stack ownership from data curation to decisioning logic integration. The position operates at the intersection of regulated banking and autonomous systems, aiming to expand underwriting capabilities into new customer segments through advanced modeling and policy evolution. Responsibilities include applying scientific methods to new data sources, leading ML Ops initiatives, designing the full credit modeling stack, leveraging data science for new data, improving credit policy, supporting existing models, and operating within a regulated banking framework.

This role focuses on designing, building, and deploying AI-driven solutions within the Legal domain, enabling legal teams to leverage AI effectively and at scale. It involves system architecture, automation, integration, and ensuring AI solutions are scalable, reliable, and safe.

This role focuses on building and automating compensation processes using AI agents and tooling. The primary responsibility is to lead the technical aspects of the Total Rewards team, owning systems, automated workflows, and self-service tools for approximately 6,000 employees. Key tasks include designing automation for compensation processes, integrating with HRIS, building self-service tools for HRBPs and leaders, creating dashboards, and managing AI agents for compensation inquiries. The role also involves managing the knowledge base for AI ingestion and ensuring data privacy for AI applications.