Senior/Staff AI Research Engineer

Hume AI; San Jose, New York (CA, NY); Hybrid; USD 130,000 - 230,000; Full time

Job summary

Hume AI is looking for a talented software engineer to collaborate with its research team on cutting-edge large language models (LLMs). This role involves developing systems for model training and data processing, focusing on solving significant AI challenges. Candidates should be proficient in Python and familiar with ML tools, along with having substantial experience in working with transformer models.

Qualifications

• 2+ years of experience training/fine-tuning transformer models.
• Experience with large-scale datasets (text, audio, image, video).

Responsibilities

• Fine-tune open-source and proprietary LLMs.
• Build software systems for model training and data analysis.

Skills

Expertise in Python

Experience with ML libraries and tools

Code maintainability

Rapid iteration on research

Tools

PyTorch

Job description

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 human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making LLMs superhumanly helpful, interesting, funny, eloquent, honest, and altruistic. Join us in the heart of New York City 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

We are looking for a talented software engineer to work alongside our research scientists to fine-tune a wide range of open-source 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-ready 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 within the past 6 months, only your initial submission will be considered.

$130,000 - $230,000 USD

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