AI Researcher

Hume

New York, San Jose (NY, CA)

Hybrid

USD 180,000 - 350,000

Full time

14 days+

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Job summary

Hume AI, based in New York City, seeks talented AI researchers to build state-of-the-art speech-language models using RLHE. You will develop software for distributed training, inference, and benchmarking, handling large-scale data collection, storage, and analysis to advance audio models and evaluation tools.

The role requires strong Python and PyTorch expertise, production-grade coding skills, and the ability to explore uncertain research directions with a collaborative team at industry scale.

Qualifications

  • Expertise in the Python ecosystem and popular ML libraries (e.g. PyTorch).
  • Experience writing robust 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 (text, audio, image, or video).

Responsibilities

  • Build software systems that support distributed model training, inference, and benchmarking.
  • Handle massive-scale data collection, storage, preprocessing, and analysis.
  • Collaborate with team to advance state-of-the-art audio models and evaluation tools.
  • Contribute to research directions and experiments at industry scale.

Skills

Python programming
Robust coding
Distributed systems

Tools

PyTorch

Job description

Hume AI is seeking talented AI researchers interested in working with our team to build state-of-the-art speech-language models (SLMs). Our new SLM training method—reinforcement learning from human expression (RLHE)—learns human preferences from behavior in millions of audio and video recordings, making SLMs 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 a Series B startup dedicated to building artificial intelligence that is directly optimized for human well-being. As the first company to release speech language models, we’re focused on expanding our research to encompass audio understanding models and evaluation platforms for enterprises.

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 talented researchers with 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. (A PhD is neither necessary nor sufficient.) We're looking for someone excited to work with our team to build state-of-the-art audio models and evaluation tools. 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 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)

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.

$180,000 - $350,000 USD

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