LLM Data Researcher
Turing- Full Time
- Junior (1 to 2 years)
Candidates should have significant experience solving complex problems in multimodal language models. Expertise in Python and Pytorch is required, along with practical experience in the full development pipeline from data processing to optimization. Experience working with large-scale text data is essential, and familiarity with interleaved data that includes audio, video, image, and text is a bonus. Hands-on experience in developing or benchmarking LLMs, Vision Language Models, Audio Language Models, or generative video models is also necessary.
The Research Scientist will design and implement novel AI algorithms and architectures for multimodal language models. They will build tools to evaluate and benchmark these models, develop large-scale AI training and inference methods, and ensure efficient implementation for data processing and training. Additionally, they will build tools to analyze and process multimodal data, collaborate with research and engineering teams to transfer research into products and services, and implement cutting-edge product prototypes based on multimodal generative AI.
Develops multimodal AI technologies for creativity
Luma AI develops multimodal artificial intelligence technologies that enhance human creativity and capabilities. Their main product, the Dream Machine, allows users to interact with various types of data, enabling creative professionals, businesses, and developers to explore innovative applications of AI. Unlike many competitors, Luma AI focuses on integrating multiple modes of interaction, which broadens the possibilities for users. The company operates on a subscription model, providing access to its AI tools and services, and aims to lead the way in AI-driven creativity and productivity.