Multimodal Machine Learning Engineer

3 weeks ago


New York, New York, United States Hume AI Full time
About Hume AI

We are a dynamic company driven by the goal of creating AI that prioritizes human well-being. Our flagship AI model, EVI 2, is an audio-language model designed to understand subtle tones of voice, word emphasis, facial expressions, and listener reactions. This allows us to develop AI assistants for various applications, including text-only interfaces.

As a research intern, you will contribute to our endeavor to ensure AI is guided by human values. You will work closely with our research team, who publish in leading scientific journals and conduct groundbreaking research. Your expertise in machine learning, particularly with multimodal research, will be essential in helping us advance our mission.

The ideal candidate will have experience collecting human rating data, working with datasets of text, audio, image, and video data, and familiarity with the latest large language model APIs. You should also be comfortable working with the Python ecosystem and popular ML libraries.

Estimated Salary: $6,000-$8,000 USD per month

Responsibilities and Requirements
  • Strong foundations in statistics and machine learning
  • Experience with Python libraries like PyTorch and sklearn
  • Familiarity with large language model APIs and multimodal research


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