Research Engineer, Luma AI

• Expertise in Python & Pytorch, including practical experience working with the full development pipeline from data processing, preparation & data loading to training and inference
• Experience processing large-scale text data, or (bonus) interleaved data spanning audio, video, image, and/or text
• Hands-on experience in developing or benchmarking at least one of the following topics: LLMs, Vision Language Models, Audio Language Models, generative video models

Desirable

• We are looking for engineers with significant experience solving hard problems in PyTorch, multimodal data, and distributed systems. You will work as a team to end-to-end build cutting edge multimodal language models with strong emphasis on audio and visual data. Your contributions will be pivotal in shaping various research projects and product roadmaps
• Design and develop large-scale annotation efforts for model post-training
• Build tools to evaluate and benchmark multimodal language models
• Develop large-scale AI training and inference methods
• Ensure efficient implementation of models & systems for data processing and training
• Build tools to visualize, evaluate and filter datasets
• Collaborate with research and engineering teams across Luma to transfer research to products and services
• Implement cutting-edge product prototypes based on multimodal generative AI