Research Scientist - Voice AI Foundations
Deepgram- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must have a strong research track record related to Generative AI, including at least one research project where they played a major role. Relevant experience includes training generative AI models in modalities such as video, image, text, and audio, as well as expertise in on-policy or off-policy reinforcement learning for model tuning. Proficiency in deep learning frameworks such as PyTorch and/or Jax is also required.
The Research Scientist will work as part of Luma’s foundation models research team on mission-critical projects. They will unlock the power of foundational models for applications like editing and controlled generations, and engage in efficient training and inference techniques on large-scale distributed systems. Data curation and processing for pretraining and fine-tuning will also be part of their responsibilities.
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.