Hume AI is seeking a dedicated and talented individual interested in working as part of our AI research team to advance our core mission: using the world’s most advanced technology for emotion understanding to build empathy and goal-alignment into AI. Join us in the heart of New York City as a research intern and contribute to our endeavor to ensure that AI is guided by human values, the most pivotal challenge (and opportunity) of the 21st century.
About Us
Hume AI is dedicated to building artificial intelligence that is directly optimized for human well-being. We raised a Series B funding round at the beginning of the year and just launched the beta of our next flagship AI model, EVI 2, a foundational audio-language model that drives an empathic AI assistant for any application.
Our models understand subtle tones of voice, word emphasis, facial expression, and more, along with the reactions of listeners. These behaviors reveal our preferences—whether we find things interesting or boring; satisfying or frustrating; funny, eloquent, or dubious. We call learning from these signals “reinforcement learning from human expression” (RLHE). AI models trained with RLHE can serve as better question answerers, copywriters, tutors, call center agents, and more, even in text-only interfaces.
Our goal is to enable a future in which technology draws on an understanding of human emotional expression to better serve human goals. As part of our mission, we also conduct groundbreaking scientific research, publish in leading scientific journals like Nature, and support a non-profit, The Hume Initiative, that has released the first concrete ethical guidelines for empathic AI (www.thehumeinitiative.org). You can learn more about us on our website (https://hume.ai/) and read about us in WIRED, Forbes, and Venturebeat.
About the Role
The ideal candidate for this role will have previous experience training and evaluating machine learning models. In this role, you will help with data collection, training, and evaluating state-of-the-art multimodal models. You will build out benchmarking tools and work directly with our research team to adapt our analysis pipelines to the latest improvements in our models. You will have the opportunity to contribute directly to Hume's developer platform.
Requirements
- Strong foundations in statistics and machine learning.
- Comfort working with the Python ecosystem and popular ML libraries and tools (e.g. PyTorch, sklearn, numpy, matplotlib).
Bonus
- Experience working with datasets of text, audio, image, and/or video data.
- Experience collecting human rating data.
- Familiarity with the latest large language model APIs (e.g., GPT-4, Claude-2).
- Familiarity with the Huggingface environment.
- Large-scale data processing pipelines.
- Experience with multimodal research.
