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Senior/Staff AI Research Engineer

Hume AI
Remote, USA
Full-time
Senior · 2+ years experience
Remote
USD 180000-350000 yearly / year
Discovered 1 weeks ago
PythonPyTorch
Free

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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 in 2024 and just launched the beta of our next flagship AI model, EVI 3, a foundational speech-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. EVI 3 uses the same intelligence to handle transcription, language, and speech, understands and responds with the expressive, emotionally intelligent voice in real time – using any voice and personality you create with a prompt. It is rated higher than GPT-4o on empathy, expressiveness, naturalness, and speed, instantly speaks with 100K+ unique voices and styles, streams language, emotion, and reasoning – all at once, and is fast enough to feel truly conversational (<300ms latency). Try it at demo.hume.ai

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. 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.

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