AI Research Assistant — Machine Learning & AI

StudyFetch is an AI-native learning platform transforming education through personalized AI-powered learning. The company seeks a part-time AI Research Assistant to conduct hands-on research involving machine learning, generative AI, large language models, multimodal AI, educational data, and model evaluation, while contributing to research proposals and funding opportunities.

Responsibilities:

• Read and analyze recent research papers in machine learning, AI, and AI in education
• Implement and reproduce methods from recent research
• Design and conduct controlled experiments and ablation studies
• Train, fine-tune, and evaluate machine learning models
• Develop datasets and data-processing pipelines for AI research
• Build and maintain evaluation and benchmarking systems
• Analyze model performance and experimental results
• Investigate new approaches to improving AI capabilities, reliability, and effectiveness in educational settings
• Develop research prototypes in Python and modern ML frameworks
• Analyze educational datasets and student interaction data to identify research opportunities and patterns
• Document experiments, findings, and methodologies
• Collaborate with researchers and engineers to refine research hypotheses
• Contribute to technical reports, research papers, presentations, and potentially open-source projects
• Research and analyze RFPs, grant opportunities, and government or foundation funding programs relevant to AI and education
• Assist with the development of grant proposals, research proposals, technical narratives, and supporting materials
• Help identify research questions and proposed technical approaches that align with funding opportunities
• Track relevant developments in AI research, education technology, and government research priorities