Research Engineer

To support innovative research and engineering initiatives, the full-time Research Engineer will contribute to projects involving efficient architectures, multimodal systems, and data engineering, working remotely while managing the end-to-end process from research to deployment. Key responsibilities Develop and implement efficient architectures for foundation models, focusing on state space models and hybrid attention designs Contribute to multimodal vision and audio systems, ensuring performance under tight latency and memory constraints Engage in data engineering tasks including pre-training data curation and scaling strategies to enhance model quality Required qualifications M.S. or Ph.D. in Computer Science, Mathematics, Electrical Engineering, or a related field; or equivalent industry experience Demonstrated research or engineering contributions in relevant areas Experience training or fine-tuning foundation models at scale Hands-on experience with distributed training infrastructure such as DeepSpeed or Megatron-LM Published research at top-tier venues like NeurIPS or ICML