Top AI & Machine Learning Jobs

Lead design, implementation, and scaling of end-to-end ML systems including feature pipelines, model training, evaluation, deployment, and monitoring. Partner with cross-functional teams to productionize models, apply MLOps best practices (automated retraining, CI/CD, drift detection), and mentor engineers to maintain high code and system quality.

Lead product-focused data science and analytics work: define success metrics, design and analyze A/B tests, investigate product and customer performance, build anomaly detection frameworks, and translate insights into product and roadmap recommendations while partnering with cross-functional teams.

Design, build, and productionize real-time fraud detection models. Advance adversarial-domain techniques (graph, sequence, anomaly detection), design robust evaluation for biased/delayed labels, ensure low-latency reliable deployment, monitor models in production, and collaborate with data scientists and stakeholders to translate fraud signals into modeling solutions.

Lead design of zero-to-one conversational experiences across LLMs, messaging apps, and voice/chat interfaces. Collaborate with PMs, engineers, researchers, and content to define requirements, craft scalable flows, and evolve a shared conversational platform and design system to ensure consistent, accessible experiences.

The Senior AI Software Engineer will design and build secure systems for high value senders, focusing on trust and reliability in financial transactions. Responsibilities include technical design, system architecture, team mentoring, and using AI tools to enhance software delivery.

Build and ship agentic LLM systems for Treasury: cash monitoring, funding execution, narrative generation, and discovery-to-deployment pipelines. Create reusable agent infrastructure, governance, evaluation, and partner with engineering to ensure data accuracy while embedding with operators to scope and iterate solutions.

Build and scale AI-driven conversational platforms and integrations for money transfer on web, mobile, and third-party channels. Design, implement, and test backend APIs, storage, and third-party integrations; ensure system stability, observability, and security. Lead technical strategy, mentor peers on responsible AI use, evaluate AI-generated code, and prototype new AI solutions.

Build and maintain Marketing AI platform components end-to-end: gather partner requirements, design and implement backend services, integrate LLMs and AI tooling, analyze data to inform decisions, ensure production reliability and security, and collaborate across teams to deliver production-ready capabilities.

Use AI coding agents to build end-to-end applications, automations, and basic agents. Translate customer needs into deployed solutions, instrument and iterate on outcomes, evaluate AI output for security/privacy/quality, engage with customers, and document prompts and patterns.

Lead end-to-end product builds by orchestrating AI coding agents to create applications, automations, and basic agents. Translate customer problems into deployable solutions, instrument usage and outcomes, evaluate AI output for security/privacy/quality, engage with customers to find automation opportunities, and document prompts, patterns, and approaches for the team.