Researcher: Multimodal

We're looking for a Researcher: Multimodal to conduct cutting-edge research at the intersection of machine learning, multimodal data, and generative modeling to advance the state of AI across audio, text, vision, and other modalities.

Requirements

• Expertise in machine learning, multimodal learning, and generative modeling, with a strong research track record in top-tier conferences (e.g., CVPR, ICML, NeurIPS, ICCV)
• Proficiency in deep learning frameworks such as PyTorch or TensorFlow, with experience in handling diverse data modalities (e.g., audio, video, text)
• Strong understanding of state-of-the-art techniques for multimodal modeling, such as autoregressive and diffusion modeling, and deep understanding of architectural tradeoffs

Benefits

• Lunch, dinner and snacks at the office
• Fully covered medical, dental, and vision insurance for employees
• 401(k)
• Relocation and immigration support
• Your own personal Yoshi