Humeai
AI Researcher
NYC, San Jose, or Remote. Posted 17 months ago
The role
This person will build state-of-the-art audio models and evaluation tools. They will build software systems that support distributed model training, inference, benchmarking, and massive-scale data collection, storage, preprocessing, and analysis.
What you will do
- Build state-of-the-art audio models and evaluation tools
- Build software systems that support distributed model training, inference, and benchmarking
- Build software systems for massive-scale data collection, storage, preprocessing, and analysis
Required qualifications
- Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)
- Experience writing robust and maintainable production-ready code
- Comfort iterating quickly on new and uncertain research directions
- 2+ years of experience contributing to the training and/or fine-tuning of models with large-scale datasets of text, audio, image, and/or video data (predictive or generative)
Nice to have
- Relevant publications
- 2+ years of experience in a research role in industry
- Proven track record of contributions to open source language, audio, or video models
About the company
Hume AI is a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. The company focuses on expanding research to encompass audio understanding models and evaluation platforms for enterprises.