Senior ML Engineer, Speech & TTS - Remote

Bazeta

United States

Remote

USD 180,000 - 260,000

Full time

38 hours ago
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Benefits offered by this job

Health insurance
401(k) retirement plan
20+ days PTO / year

Job summary

Cantina Labs is seeking a senior ML Engineer to join the Speech Team, focusing on building state-of-the-art speech systems from data specs to production inference. You will lead small research projects, design rigorous experiments, and contribute to end-to-end model pipelines for TTS, voice cloning, and related tasks.

You should have experience with large-scale audio models, transformer/diffusion architectures, and multi-node distributed training, with a track record of shipping models to

Qualifications

  • Experience with large-scale audio modeling (3B+ params, 500k+ hours data).
  • Strong background in transformer and/or diffusion models for speech.
  • Experience with multi-node/multi-GPU distributed training.
  • Shipped speech/audio models to production and Python/PyTorch proficiency.

Responsibilities

  • Architect and train large-scale speech models end-to-end.
  • Lead small research projects within the team.
  • Design experiments to improve model quality and robustness.
  • Develop dev tooling to boost team productivity and maintainability.
  • Collaborate across data, research, and infra for scalable production.

Skills

Large-scale audio models
Transformer architectures
Diffusion models
Voice cloning
Distributed training
PyTorch
Performance optimization

Tools

CUDA
Triton
C++

Job description

Cantina Labs is seeking a senior ML Engineer to join the Speech Team, focusing on building state-of-the-art speech systems from data specs to production inference. You will lead small research projects, design rigorous experiments, and contribute to end-to-end model pipelines for TTS, voice cloning, and related tasks.

You should have experience with large-scale audio models, transformer/diffusion architectures, and multi-node distributed training, with a track record of shipping models to

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