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Director of AI Research – Speech Recognition & Deep Learning

Job in Houston, Harris County, Texas, 77001, USA
Listing for: Recruits Lab
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), AI Business & Operations, Machine Learning/ ML Engineer, Data Scientist
  • Research/Development
    AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below
Director of AI Research - Speech Recognition & Deep Learning

Redefine How Machines Hear, Understand, and Communicate.

Location: Remote | United States

Employment: Full-Time | Research Leadership

The Opportunity

We're partnering with a global AI technology innovator pushing the boundaries of speech recognition, deep learning, and next-generation voice intelligence.

We're seeking an exceptional Director of AI Research to lead breakthrough research in speech AI, develop advanced neural architectures, and shape intelligent systems used at global scale.

This isn't about maintaining yesterday's technology. It's about inventing what's next.

What You'll Do
  • Pioneer Speech AI: Lead research in end-to-end ASR, streaming speech recognition, and advanced neural speech models.
  • Advance AI Architectures: Develop and optimize Conformer, RNN-T, Transformer, CTC, and emerging speech architectures.
  • Solve Complex Challenges: Improve speech accuracy, latency, multilingual capabilities, and performance in real-world environments.
  • Drive Innovation: Explore speech foundation models, embeddings, and next-generation speech-to-speech technologies.
  • Lead Research: Guide talented scientists, influence technical strategy, and translate breakthrough research into production-ready AI.
What You'll Bring
  • Must Have: Proven hands-on experience developing and training modern end-to-end ASR models.
  • Deep expertise in speech recognition, deep learning, and neural network architectures.
  • Strong experience with Conformer, RNN-T, Transformer-based ASR, or CTC.
  • Experience with streaming, real-time, or low-latency speech recognition systems.
  • Strong knowledge of multilingual ASR, acoustic modeling, and speech representation learning.
  • Demonstrated ability to lead research initiatives and drive technical innovation.

Bonus: Experience with speech foundation models, self-supervised learning, multimodal AI, or influential research publications.

Why Join?

The future of AI isn't just about what machines can generate. It's about what they can understand.

You'll lead ambitious research, shape next-generation speech technology, and tackle some of the most exciting challenges in artificial intelligence.

Ready to push the boundaries of Speech AI?

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