Top Machine Learning Engineer Jobs

The AI/ML Engineer designs and develops scalable AI solutions, optimizes RAG pipelines, and mentors junior engineers, while working closely with cross-functional teams to deploy client-facing AI services.

Design, implement, and improve reinforcement learning algorithms for healthcare decision-making, ensuring the platform learns from interactions and adheres to clinical guidelines.

As a Senior Principal Machine Learning Engineer, you'll lead technical projects, mentor teams, and implement ML systems, focusing on AI in AEC solutions.

The Machine Learning Engineer will design high-throughput data pipelines, productionize ML models, and collaborate with researchers and QA teams to enhance model performance and scalability in financial data processing.

The Industry Architect for Advertising & Media at Snowflake drives technical transformation in media measurement and marketing science, partnering with global brands and agencies to innovate data architectures and optimize media investments using AI and privacy-safe technologies.

The Staff Machine Learning Engineer will develop ML platforms, design predictive models, and automate workflows for improved decision-making and user experience at GEICO.

Lead the Applied Machine Learning team at ExtraHop to develop systems for behavioral detection in network security. Manage model design, evaluation, and operationalization while maintaining experimental rigor and collaborating with product teams.

The role involves applying AI/ML techniques to develop model systems for healthcare, collaborating across teams, and conducting R&D.

Lead the development of production-grade machine learning systems, build ML pipelines, and optimize models for deployment and performance.

The Machine Learning Engineer will collaborate with customers to tailor AI solutions, design and optimize ML pipelines, and drive innovation in the nuclear and utility sectors.