13d 19h ago
Machine Learning Engineer
Cantina·ML / AI Engineer · Artificial Intelligence
🏢Hybrid
|United States of America$200k - $220k USD/yr
performance_marketingcudapytorch
Machine Learning Engineer
Cantina | ML / AI Engineer | Artificial Intelligence
Hybrid
Full Time
United States of America
$200k - $220k USD/yr
Source not independently verified
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Position:
Machine Learning Engineer - Voice Conversion
Company:
Cantina
Compensation:
$200k-$220k/yr
Location:
United States or Europe
Employment type:
Full Time
Work Arrangement:
Remote
Short Summary:
Cantina is seeking a Research / ML Engineer to join their Speech Team to build state-of-the-art speech systems end-to-end, focusing on voice conversion and related tasks.
Responsibilities:
- Architect, implement, pre-train, fine-tune, and post-train large-scale speech models.
- Design, run, and analyze scientific experiments to advance model understanding.
- Develop and improve dev tooling to enhance team productivity.
- Contribute to the entire stack, from low-level optimizations to high-level model design.
- Define data requirements and collaborate on data strategies.
- Design automated evaluations and conduct rigorous testing.
- Harden the training → evaluation → inference pipeline and ensure production SLAs.
- Contribute to safety and responsibility measures for speech technology.
Requirement:
- Extensive experience with large-scale audio models (>8B parameters, >500k hours of data).
- Deep hands-on experience with diffusion and/or flow-matching transformers.
- Strong experience with multi-node, multi-GPU distributed training.
- Proven track record of building complex systems and writing production-quality code.
- Experience with voice cloning, speech control, or expressive speech generation.
- Notable publications or open-source contributions in speech/audio/ML.
Benefits:
- Competitive salary and generous company equity.
- Medical, dental, and vision insurance – 99.99% of premiums covered.
- 42 days of paid time off, including PTO, sick days, and holidays.
- Generous parental leave & fertility support.
- 401(k) retirement savings plan.
- Lifestyle spending account – $500/month.
- Complimentary lunch and snacks for in-office employees.
- One Medical membership, and more!
Machine Learning Engineer - Voice Conversion
Company:
Cantina
Compensation:
$200k-$220k/yr
Location:
United States or Europe
Employment type:
Full Time
Work Arrangement:
Remote
Short Summary:
Cantina is seeking a Research / ML Engineer to join their Speech Team to build state-of-the-art speech systems end-to-end, focusing on voice conversion and related tasks.
Responsibilities:
- Architect, implement, pre-train, fine-tune, and post-train large-scale speech models.
- Design, run, and analyze scientific experiments to advance model understanding.
- Develop and improve dev tooling to enhance team productivity.
- Contribute to the entire stack, from low-level optimizations to high-level model design.
- Define data requirements and collaborate on data strategies.
- Design automated evaluations and conduct rigorous testing.
- Harden the training → evaluation → inference pipeline and ensure production SLAs.
- Contribute to safety and responsibility measures for speech technology.
Requirement:
- Extensive experience with large-scale audio models (>8B parameters, >500k hours of data).
- Deep hands-on experience with diffusion and/or flow-matching transformers.
- Strong experience with multi-node, multi-GPU distributed training.
- Proven track record of building complex systems and writing production-quality code.
- Experience with voice cloning, speech control, or expressive speech generation.
- Notable publications or open-source contributions in speech/audio/ML.
Benefits:
- Competitive salary and generous company equity.
- Medical, dental, and vision insurance – 99.99% of premiums covered.
- 42 days of paid time off, including PTO, sick days, and holidays.
- Generous parental leave & fertility support.
- 401(k) retirement savings plan.
- Lifestyle spending account – $500/month.
- Complimentary lunch and snacks for in-office employees.
- One Medical membership, and more!
Required Skills
performance_marketingcudapytorch
Required Languages
🇬🇧 English
Key competency: ML / AI Engineer