Top AI & Machine Learning Jobs

In this role, you will lead AI personalization initiatives, develop AI/ML models for user experience, collaborate across teams, and ensure rigorous development practices.

Design, build, and operate production ML decision systems to detect and prevent payment fraud, account takeover, scams, and other abuse. Integrate diverse signals into low-latency serving and batch scoring, own feature pipelines and model lifecycle, develop AI-assisted triage and feedback loops, and partner cross-functionally to balance fraud reduction with legitimate customer access.

Design, build, and operate production ML systems that generate trusted signals for ranking, retrieval, recommendations, propensity/churn/LTV, and next-best-action decisioning. Define signal/data contracts, own feature and candidate generation through serving, experimentation, monitoring, and feedback loops, and evaluate long-term business impact, trust, fairness, and compliance. Partner across product, data, modeling, risk, and compliance and apply AI/agents to accelerate engineering and operations.

Build and deploy agentic and generative AI copilot and autopilot systems for Risk and Compliance. Own end-to-end systems (data, API integrations, prompt tuning, orchestration, monitoring). Leverage payment, blockchain, graph, and unstructured data to train transformer-based models. Collaborate cross-functionally to productionize and monitor ML at scale, driving strategic roadmaps and significant business impact.

Lead AI-driven automation for risk and compliance by defining strategy, roadmaps, and metrics. Partner with ML engineers, data scientists, design, legal, and operations to build, evaluate, and deploy safe, reliable automations; run experiments, define success/failure behaviors, and drive cross-functional execution to improve decision quality and operational efficiency.

As a Senior Machine Learning Engineer, you will lead model validation for AI systems, challenge model soundness, and build validation tools for high-stakes areas such as credit and fraud prevention.

The Staff Machine Learning Engineer will lead ML initiatives, partnering with multiple teams to enhance customer support through AI-driven solutions, focusing on conversational agents and research in chatbot architectures.

As a Senior Data Scientist, you'll lead AI risk assessments, manage compliance, and evaluate AI system behavior, ensuring safe deployment across banking use cases.

As a Senior Data Scientist, you will lead AI risk assessments, coordinate with stakeholders, and ensure effective AI governance practices for safe financial application deployment.

Lead development and production of underwriting and credit decisioning models across Cash App Borrow and Afterpay. Own full modeling lifecycle: problem formulation, feature engineering, training, calibration, experimentation, deployment, monitoring, and iteration. Build decision frameworks, agentic engineering workflows, and collaborate with cross-functional partners to align model behavior with business and regulatory goals.