Top AI & Machine Learning Jobs

Lead enterprise AI tooling lifecycle and company-wide AI learning programs. Manage procurement, deployment, governance, adoption metrics, and change management while partnering with Security, Privacy, Legal, and IT to operationalize responsible AI and scale tooling across the organization.

As a Data Scientist II, you will analyze fraud trends, optimize risk decision policies, and create dashboards to improve fraud model performance.

Lead a team of Machine Learning Engineers and Data Scientists to design and deliver ML systems at Remitly. Collaborate across domains to implement MLOps best practices and contribute to AI strategy.

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.

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.

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.

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.