Remote ML Engineer – Voice Conversion & Speech AI

Devconnectplatform; United States; Remote; USD 180,000 - 290,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

PTO 42 days

Parental leave

401(k)

Lifestyle stipend

Lunch provided

One Medical

Job summary

Cantina Labs is hiring a Research/ML Engineer for its Speech Team to build state-of-the-art speech systems end-to-end, from data specs to production inference. You will work on scalable models, experiments, and safety guardrails while collaborating with infra, data, and product teams in a remote setting.

You’ll design experiments, evaluate models with listening tests and ASR metrics, and help deliver reliable, cost-aware speech technology. A strong publishing/open-source background is a plus.

Qualifications

• Experience with large-scale audio models (>8B parameters, >500k hours of data).
• Experience with diffusion or flow-matching transformers.
• Experience training audio VAEs, neural codecs, vocoders, and related objectives.

Responsibilities

• Model building: pre-train, fine-tune, and post-train large-scale speech models.
• Design and run experiments to advance model understanding and quality.
• Develop tooling to improve team productivity and workflow.
• Contribute to end-to-end pipeline from data to inference and monitoring.

Skills

Large-scale audio

PyTorch

Distributed training

Speech/Audio ML

Experiment design

Tools

PyTorch

CUDA

Triton

DeepSpeed

Job description

Cantina Labs is hiring a Research/ML Engineer for its Speech Team to build state-of-the-art speech systems end-to-end, from data specs to production inference. You will work on scalable models, experiments, and safety guardrails while collaborating with infra, data, and product teams in a remote setting.

You’ll design experiments, evaluate models with listening tests and ASR metrics, and help deliver reliable, cost-aware speech technology. A strong publishing/open-source background is a plus.