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