Top AI & Machine Learning Jobs

The Senior Data Scientist will implement and test ML models for international products, collaborating with cross-functional teams to drive insights and deploy solutions.

The Data Scientist will build predictive models, design data pipelines, conduct analyses, and deploy solutions in a collaborative environment.

Lead the SDL and Cash Line ML teams, developing innovative machine learning models to improve lending solutions and expand credit access. Collaborate with cross-functional teams to drive product strategy and enhance model performance, while mentoring a team of ML scientists.

The Principal AI Model Architect's role includes optimizing model architectures for new hardware, translating AI algorithms into hardware specifications, and projecting performance for silicon design.

The Senior AI Platform Engineer will lead technical onboarding to the Databricks platform, connect data sources, and implement governance and cost management for AI use cases.

Lead AI platform strategy, architecture, and delivery for enterprise-wide AI adoption. Build and operate scalable platforms, define governance and guardrails, advise business leaders, manage engineering teams and budgets, and enable AI fluency and reuse across the organization to drive responsible, secure, and value-driven AI solutions.

The role focuses on adopting AI tools by measuring platform usage, creating training programs, and enhancing user engagement across MetLife's operations.

The EO Imagery Analyst Lead will provide technical direction, assess sensor characteristics, process EO imagery data, and communicate analysis findings.

The Data Science Intern will help extract insights from large datasets, develop predictive models, and collaborate with teams to inform business decisions through data-driven solutions.

The Deep Learning Engineer will design and deploy deep learning systems for autonomous robots, optimize models, and mentor junior engineers.