Senior/Staff AI Research Engineer

Hume; New York (NY); Hybrid; USD 180,000 - 350,000; Full time

Job summary

Hume AI in New York City is hiring researchers and engineers to build state-of-the-art audio and language models. You'll develop software systems for distributed training, inference, and benchmarking, enabling large-scale experiments across text, audio, and video data.

You should be proficient in Python and PyTorch, write robust production code, and iterate quickly on new research directions. This role offers a chance to push RLHE-driven research and contribute to AI that aligns with human

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 training and/or fine-tuning transformer models with large-scale datasets of text, audio, image, and/or video data.

Responsibilities

• Build software for distributed model training, inference, and benchmarking.
• Handle massive-scale data collection, storage, preprocessing, and analysis.
• Advance AI research problems at industry scale.

Skills

Python

ML libraries

Production code

Experimentation

Tools

PyTorch

Distributed training

Job description

Hume AI is seeking talented researchers and engineers interested in working with our AI research 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 and engineers interested in working 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 training and/or fine‑tuning transformer models with large‑scale datasets of text, audio, image, and/or video data

$180,000 - $350,000 USD