AI Researcher

Summary

Join Hume AI, a leading AI research company, and contribute to building state-of-the-art speech-language models (SLMs) using reinforcement learning from human expression (RLHE). Our innovative approach learns human preferences from vast audio and video data, creating SLMs that are exceptionally helpful, engaging, and aligned with human values. Based in New York City, you will work on cutting-edge research, solving challenging AI problems at an industrial scale. We offer a competitive salary and the opportunity to make a significant impact on the future of AI. Hume AI is committed to ethical AI development and publishes research in top scientific journals. We also support a non-profit dedicated to establishing ethical guidelines for empathic AI.

Requirements

• 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)
• Relevant publications
• 2+ years of experience in a research role in industry, and/or a proven track record of contributions to open source language, audio, or video models

Responsibilities

• Build out software systems that support distributed model training, inference, and benchmarking
• Develop systems for massive-scale data collection, storage, preprocessing, and analysis
• Work to solve some of today’s most exciting AI research problems at industry scale