Applied Scientist (Economics) Intern

This quantitative research internship focuses on developing and testing quantitative investment models. The intern will perform statistical analysis, backtest strategies, and collaborate with researchers to improve investment performance.

This is an AI engineering internship focused on developing and deploying machine learning models for Sezzle's financial technology platform. The intern will work on applied AI projects such as credit risk modeling, personalization, or fraud detection.

This is an AI engineering internship focused on developing and deploying machine learning models for Sezzle's financial technology platform. The intern will work on applied AI projects such as credit risk modeling, personalization, or fraud detection.

This is an internship role in applied science, likely involving research and development of AI/ML models and algorithms. The intern will work on practical applications of data science and machine learning within Datadog's observability platform.

This Principal Applied Scientist focuses on user modeling to enhance personalization and recommendation systems. The scientist will develop models to understand user behavior, improve engagement, and drive product decisions.

This role focuses on developing world models for AI systems, enabling agents to understand and predict environments. The scientist will conduct research, implement models, and collaborate with engineering teams to integrate world models into products.

This Principal Applied Scientist leads the development of generative AI models and applications, focusing on natural language processing and content generation. The role involves defining research directions, mentoring teams, and ensuring responsible AI practices.