Block
Fintech · Payments
Block, a fintech company, currently has 13 active AI-related job listings. The majority of these roles, 54%, are focused on agents, with application roles making up 31% and serving infrastructure accounting for 15%. Engineering is the dominant function, with 11 positions, and all roles are being hired in the United States. Frequent tech tags include agent orchestration, model serving, and guardrails, suggesting a focus on operationalizing AI models. In the last 30 days, Block posted 5 new AI roles, a 29% decrease compared to the previous 30-day period.
Fintech · Payments
Currently tracking 6 active AI roles, with 104 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $108k–$343k (avg $239k).
Block currently has 25 active AI-related roles in our index. The most common open titles are: Principal Designer, TIDAL (3), Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op) (2), Senior Data Scientist, AI & Model Risk (2), Senior Site Reliability Engineer (2), Staff Machine Learning Engineer, Credit Products (Square Financial Services) (2). Most positions are in Engineering and Product.
Block's active AI hiring is concentrated in: agents (60%), application (20%), evaluation (12%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Block is hiring AI talent in: United States (25 roles).
Job postings at Block most frequently reference: agent orchestration, model serving, llm observability, evals, guardrails.
In the past 30 days, Block has posted 18 new AI-related roles. That is a +260% change versus the prior 30 days (5 → 18).
| Title | Stage | AI score |
|---|---|---|
| Principal Engineer, AI Systems Principal Engineer to build and ship autonomous agents and agentic workflows across Block's ecosystem, focusing on production delivery, agent orchestration, LLM integration, and optimization. Requires significant technical leadership and experience in bringing AI-powered products to scale. | AgentPost-train | 9 |
| Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op) Research intern role focused on building the Customer World Model (CWM) for proactive intelligence across Block's ecosystem. The role involves end-to-end ownership of research problems at the intersection of representation learning, foundation models, RL, causal reasoning, and agentic systems, with opportunities to publish and ship work into production. | AgentPost-train | 9 |
| Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op) Research intern role focused on building the Customer World Model (CWM) for proactive intelligence across Block's ecosystem. The role involves end-to-end ownership of research problems at the intersection of representation learning, foundation models, RL, causal reasoning, and agentic systems, with opportunities to publish and ship work into production. | AgentPost-train | 9 |
| Staff Applied Machine Learning Engineer - Fraud & Abuse Staff Applied Machine Learning Engineer at Block, focusing on designing, building, and operating production ML decision systems to combat fraud and abuse across various Block brands. The role involves end-to-end ownership of ML systems, from data contracts and low-latency inference to monitoring and incident response, with an emphasis on AI-assisted operations and collaboration with cross-functional teams. | AgentServe | 8 |
| Senior ML/AI Modeler, Risk Automation Machine Learning This role focuses on automating Risk and Compliance investigations and decision-making at Block using agentic and generative AI. The Senior ML/AI Modeler will experiment with and deploy AI copilot and autopilot systems, own end-to-end system development including API calls, prompt tuning, orchestration, metrics, evaluation, productionization, and monitoring. They will leverage diverse datasets and transformer-based ML models, work cross-functionally with various teams, and utilize Python ML stack, LLMs, PyTorch, and cloud services. Experience with AI engineering, LLMs, and end-to-end ML/AI deployment to production is required. | AgentServe | 8 |
| Senior Machine Learning Engineer, Model Risk Management This role is responsible for independently challenging model owners across lending, fraud, and AML by reproducing results, setting acceptance thresholds, and determining model soundness. The role involves hunting for silent errors, choosing robust evaluation methods, and shipping production code for validation tooling. A key focus is building agentic validation tooling and reasoning about ML systems end-to-end, including modern AI like LLMs and agentic systems, to ensure reliability and compliance with regulatory standards. | Eval GateAgent | 8 |
| Staff Machine Learning Engineer (Modeling), Support Staff Machine Learning Engineer focused on building and scaling AI-powered conversational support systems, including chatbots and agent tools, across Block's consumer-facing products. The role involves end-to-end ML initiative delivery, R&D into next-generation chatbot architectures, and deploying models for real-time inference and recommendations. | AgentServe | 8 |
| Senior Machine Learning Engineer, AI Personalization 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. | AgentServe | 8 |
| Product Manager, Risk Automation Product Manager for Risk Automation at Block, focusing on leveraging AI to automate and improve risk and compliance decision-making. The role involves driving strategy, identifying AI opportunities, translating needs into requirements, and collaborating with engineering and data science teams. Experience with AI/ML products, experimentation, and LLMs is required, with a focus on building operational tooling in a regulated fintech environment. | Agent | 7 |
| Staff Machine Learning Engineer, Underwriting and Credit Staff Machine Learning Engineer at Block, focusing on building and evolving ML systems for credit products like Cash App Borrow and Afterpay. The role involves the full modeling lifecycle, from problem formulation to production deployment and iteration, with a strong emphasis on agentic engineering workflows and AI tooling to accelerate development and ensure rigor. The position requires extensive experience in decisioning contexts and a deep understanding of borrower behavior and credit risk. | AgentServe | 7 |
| Staff Applied Machine Learning Engineer - Intelligent Data, Signals & Systems Staff Applied Machine Learning Engineer to build production ML systems for customer intelligence, signals, ranking, recommendations, search, and decisioning. The role involves designing data and signal contracts, owning systems end-to-end, evaluating business impact beyond conversion, and partnering with various teams. It also emphasizes using AI and agents to accelerate development and operations, and exposing reusable capabilities. Requires deep expertise in intelligent systems and production ML judgment. | AgentServe | 7 |
| Product Manager, GTM Automation Product Manager for GTM Automation at Block, focusing on shaping AI products that automate workflows across sales, marketing, and operations. The role involves defining strategy, identifying automation opportunities, partnering with ML teams, and ensuring responsible AI deployment in regulated environments. | Agent | 7 |
| Senior Data Scientist, AI & Model Risk Senior Data Scientist role focused on AI & Model Risk, leading risk assessments for Generative AI and LLM use cases in financial services. The role involves ensuring safe, compliant, and responsible deployment by evaluating system design, testing, monitoring, and regulatory compliance. It requires strong understanding of AI architectures, testing methodologies, and risk management principles, with a focus on operationalizing AI governance. | Eval GateAgent | 7 |
| Senior Data Scientist, AI & Model Risk Senior Data Scientist role focused on AI & Model Risk, leading risk assessments for Generative AI and LLM use cases in financial services. The role involves ensuring safe, compliant, and responsible deployment by evaluating system design, testing, monitoring, and regulatory compliance. It requires strong understanding of AI architectures, testing methodologies, and risk management principles, with a focus on operationalizing AI governance. | Eval GateAgent | 7 |
| Compliance Technology Program Lead This role focuses on ensuring AI/ML and heuristic models used in compliance (fiat and virtual currency) are fit for purpose. It involves using AI agents (like Claude) to automate oversight, monitoring, and documentation, and establishing governance frameworks aligned with regulatory standards (SR 11-7, etc.). The role requires end-to-end oversight of various models, including transaction monitoring, sanctions screening, customer risk scoring, and AI-driven case resolution, with a strong emphasis on defensibility to regulators. | AgentData | 7 |
| Staff Machine Learning Engineer, Credit Products (Square Financial Services) 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. | ShipData | 7 |
| Staff Machine Learning Engineer, Credit Products (Square Financial Services) 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. | ShipData | 7 |
| Legal Systems Engineer 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. | Agent | 7 |
| Product Manager, Advanced Insights & Modeling Product Manager for the Advanced Insights and Modeling (AIM) team, focusing on the end-to-end lifecycle of predictive models. This role involves partnering with ML engineers, defining product strategy, conducting data analysis, and driving adoption of forecasting models within a fintech company. | Agent | 7 |