AI Researcher — Distillation

📋 Description Design, implement, and evaluate advanced model distillation techniques, including teacher-student Investigate the tradeoffs between model size, latency, memory consumption, throughput, and accuracy. Develop novel approaches to distilling large language models, long-context or specialized Conduct large-scale experiments, ablation studies, and rigorous analysis to validate research Translate research findings into practical implementations and collaborate closely with engineering Prepare and submit research papers to leading machine learning conferences and venues such as 🎯 Requirements Strong academic or professional background in machine learning research, with a solid understanding Hands-on experience with model distillation or closely related areas such as model compression Demonstrated publication experience through conference or journal papers, workshop publications, or Strong understanding of optimization, training dynamics, generalization, and modern deep learning Fluency in PyTorch or an equivalent deep learning framework, with experience conducting Ability to design rigorous experiments, interpret results, and critically evaluate research 🎁 Benefits Significant ownership and influence over research direction within a Series A-stage environment. Strong support for publishing research and pursuing open research initiatives. Close feedback loop between research experimentation and real-world production deployment. Access to meaningful compute resources and production-scale machine learning problems. Opportunity to work on cutting-edge model efficiency and distillation challenges. Collaboration within a small, highly technical team with deep expertise across machine learning and