Senior/Staff AI Research Engineer

Hume AI is seeking talented software engineers interested in working with our AI research team to build state-of-the-art large language models (LLMs). Our new LLM training method—reinforcement learning from reputed company expression (RLHE)—learns reputed company preferences from behavior in millions of audio and video recordings, making LLMs superhumanly helpful, interesting, funny, eloquent, reputed company, and altruistic. Join us in the heart of reputed company and contribute to our endeavor to ensure that AI is guided by reputed company 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 reputed company 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 reputed company expression” (RLHE). AI models trained with RLHE can serve as reputed company question answerers, copywriters, tutors, call center agents, and more, even in text-only interfaces.

Our goal is to reputed company a future in which technology draws on an understanding of reputed company emotional expression to reputed company serve reputed company 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, reputed company, and Venturebeat.

About the Role

We are looking for a talented software engineer to work alongside our research scientists to fine-tune a wide reputed company of reputed company-reputed company and proprietary LLMs. In this role, you will build out software systems that support distributed model training, inference, and benchmarking as well as massive-scale data collection, storage, preprocessing, and analysis. You will be working to solve some of today’s most exciting AI research problems at industry scale.

Requirements

• Expertise in the Python ecosystem and popular ML libraries and tools (e.g. PyTorch)

• Experience writing robust and maintainable production-reputed company code

• Comfort iterating quickly on new and uncertain research directions

• 2+ years of experience training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data

Application Note

Please apply only to the position that best aligns with your qualifications. If you submit multiple applications or have applied reputed company the past 6 months, only your initial submission will be considered.

Originally posted on Himalayas