p>What youll be doing: ā¢ Driving new abilities into the model ā¢ Improving generalization of existing functionalities by understanding weak points, designing a data synthesiis solution, and retraining models ā¢ Developing recipes for training models that mix multiple modalities together, such as text, image, video, audio, etc ā¦ ā¢ Designing solutions that improve pareto efficiency ā¢ Collaborating with researchers to translate cutting-edge ideas into production-ready implementations ā¢ Exploring new paradigms for evaluation ā¢ Demonstrating strong engineering practices, and contributing to open-source communities.
Ways to stand out from the crowd:
ā¢ Specific multi-modal LLM research experience ā¢ Experience developing and scaling large distributed systems for deep learning ā¢ Contributions to open-source LLM systems or large-scale AI infrastructure.