Top AI & Machine Learning Jobs

The Staff Software Engineer will develop Cloudera's AI and machine learning platform, focusing on building scalable AI applications and collaborating with cross-functional teams.

Lead AI projects and develop machine learning models to enhance health initiatives at HPB, collaborating with cross-functional teams.

The role involves designing and developing AI-enhanced instructional materials, supporting the integration of Agentic AI solutions, and collaborating with academic staff to improve teaching methodologies.

The AI Engineer will develop, implement, and manage AI/ML applications, models, and infrastructure while ensuring integration with enterprise systems and compliance with ethical guidelines.

Lead the creation and optimization of machine learning algorithms, develop and refine production-grade models, and drive testing of innovative algorithms using historical data.

The AI Developer role focuses on transforming customer support with AI tools, enhancing efficiency, response times, and customer experience through solutions like chatbots and workflow automation.

The Forward Deployed Engineer works with clients to design and implement AI solutions, integrating ML models and advising on best practices.

Lead complex AI engineering projects, guiding clients in technical and strategic decision-making, while mentoring junior engineers and ensuring successful deployment of AI solutions.

Lead AI technical strategy, architect AI systems, set safety standards, mentor engineers, and evaluate AI models at Midi Health, a healthcare-focused company.

You will design and build LLM-powered features, integrate AI capabilities into workflows, and contribute to internal practices at a healthcare-focused company.

Lead Experian's global workplace generative AI strategy, overseeing governance, adoption, and operational scalability of enterprise AI capabilities, while collaborating with various departments to ensure compliance and value realization.

Transform Operations by implementing automation and AI strategies to improve efficiency, reduce timelines, and enhance user experience. Responsible for strategy leadership, execution, collaboration, and measurement of automation impact.

Develop core AI features for an AI-native product, including building LLM features, developing benchmarks, and overseeing the full lifecycle of development.

As a Curriculum Specialist, you will maintain and enhance computer science curriculum, create instructional materials, and support teachers while ensuring quality and alignment with standards.

Manage and lead a software engineering team to develop AI capabilities for Figma's products, driving innovation and mentoring talent.