Territory Account Executive- Sydney
Sydney, AustraliaTerritory Account Executive - Perth
Perth, AustraliaManager, Strategic Account Management, Food & Beverage
New York, NYPrincipal Designer, TIDAL
London, United KingdomPrincipal Designer, TIDAL
Amsterdam, NetherlandsSMB Sales Account Executive
London, United KingdomStaff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems
Bay Area, CAStaff Applied Machine Learning Engineer focused on intelligent data and signals systems at Block, building production ML systems for recommendations, ranking, risk-aware decisioning, and customer intelligence. Role requires 12+ years building ML/software systems and deep expertise in ranking/recommendations. Onsite/hybrid in Bay Area, CA.
Staff Applied Machine Learning Engineer - Fraud & Abuse
Bay Area, CASenior ML/AI Modeler, Risk Automation Machine Learning
Seattle, WABlock's Risk Automation ML team is hiring a Senior ML/AI Modeler to automate risk and compliance investigations through agentic and generative AI. The role involves building AI copilot and autopilot systems at scale, owning end-to-end systems including API calls, prompt tuning, orchestration, metrics, and productionization. Uses Python ML stack, LLMs, PyTorch, Snowflake, and Airflow. Located in Seattle, WA; remote within US and Canada. Requires 8+ years of relevant experience and hands-on expertise with LLMs, generative AI, and ML systems. Focus on scaling AI to improve analyst productivity and eliminate manual decision loops.
Senior Machine Learning Engineer, Model Risk Management
New York, NYBlock is hiring a Senior Machine Learning Engineer for Model Risk Management to challenge, validate, and oversee model deployments across lending, fraud, AML, and emerging agentic systems. Responsibilities include independently evaluating models, hunting silent errors, choosing robust evaluation methodologies, building validation tooling, and owning defensible assessments before production deployment. Hands-on work includes reproducing results, setting acceptance thresholds, shipping production code, and handling complex, under-specified challenges. Located in New York, NY; remote-friendly within approved US locations. Requires technical depth, cross-team leadership, and ability to work with first-line modelers, Legal, Compliance, auditors, and regulators. Focus on model oversight, drift detection, and agentic system validation.
SMB Account Executive, London
London, United KingdomStaff Machine Learning Engineer (Modeling), Support
Seattle, WASenior Machine Learning Engineer, Risk Modeling
Bay Area, CATerritory Account Executive, West Yorkshire
Leeds, United KingdomEnterprise Account Manager, Services
San Francisco, CAMid-Market Account Manager, Services
San Francisco, CAProduct Manager, GTM Automation
Bay Area, CASenior Software Engineer, Product Platform
Toronto, CanadaSenior Software Engineer, Product Platform
New York, NYBlock is seeking a Senior Software Engineer for Product Platform Engineering to design and build foundational systems engineers depend on—deployment orchestration, CI/CD, Kubernetes, event streaming, databases, and developer tooling. The role emphasizes platform modernization, cross-team collaboration, and using AI to improve development workflows. Located in New York, NY, it requires 5+ years of backend/infrastructure experience and familiarity with deployment systems, event streaming, and reliability tooling. The position is hands-on IC-level work with technical leadership responsibilities but does not focus on product-facing AI systems.
Senior Data Scientist, AI & Model Risk
New York, NYBlock is hiring a Senior Data Scientist for AI & Model Risk to lead AI risk assessments for generative AI and LLM deployments, ensuring safe and compliant operations. Responsibilities include coordinating cross-functional risk reviews, assessing AI system design, reviewing pre-deployment testing, monitoring for bias and fairness, and shaping AI governance practices. Based in New York, NY; remote-friendly within approved US locations. Role sits at intersection of Model Risk Management and AI Governance with close coordination across Risk, Engineering, Legal, Compliance, and InfoSec. Requires strong judgment, risk assessment expertise, and ability to work with senior stakeholders under ambiguous conditions.
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