Top AI & Machine Learning Jobs

Build and deliver AI-native, agentic systems for healthcare customers end-to-end: discover customer needs, architect and code solutions, manage onboarding and production reliability, mentor newer builders, and ensure compliance with federal and healthcare data protections.

Build and maintain backend services and large-scale data pipelines for recommendation systems, productionize ML models (batch and real-time), develop vector database capabilities, ensure observability and reliability, lead A/B testing and data-driven decisions, participate in on-call and incident response, and mentor engineers while integrating AI into development workflows.

Lead end-to-end AI product discovery, prototype and ship working ML/AI solutions for HR, Marketing, and Commercial teams. Build first prototypes yourself, partner with engineers to productionize, define success metrics, and drive adoption and business impact.

Lead and manage the underwriting and credit risk model validation team, perform hands-on independent validations of complex ML models, assess data integrity and performance, identify and remediate model weaknesses, partner on MRM framework improvements, and coordinate with audit, compliance, and controls to meet regulatory standards.

Lead strategy and roadmap for AI-powered learning products, drive high-priority AI initiatives from concept to scale, partner cross-functionally to deliver responsible AI solutions, define success metrics and experimentation frameworks, and advise leadership on AI trends and opportunities.

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

The Data Scientist will analyze data to provide insights, partner with teams for metrics, develop models, and create accessible visualizations to influence product and program strategies.

The Sr. Machine Learning Engineer will develop and deploy ML solutions for healthcare, manage data pipelines, and work with large datasets to enhance healthcare delivery.

Partner with Digital Assets, Finance, Treasury, and Risk to design measurement frameworks, perform strategic analysis and modeling, build scalable SQL-driven automation and dashboards, analyze on-chain and finance data, create visualizations, and drive data-informed product decisions for USDC and related digital asset offerings.

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.