# Machine Learning Engineer - Voice Conversion

**Company:** [Cantina](https://hotfix.jobs/companies/cantina)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $200k – $220k/yr
**Skills:** PyTorch, diffusion models, flow matching, Transformers, audio vaes, neural audio codecs, vocoders, fsdp, deepspeed, CUDA, triton, C++, voice cloning, Distributed Training, grpo
**Posted:** 2026-08-04

> Build and productionize large-scale generative speech models for voice conversion and related capabilities. The role combines research, data, evaluation, distributed training, performance optimization, and responsible deployment of speech systems.

## Job Description

## Responsibilities
- Architect, implement, pre-train, fine-tune, and post-train or align large-scale speech models, including GRPO and DPO approaches.
- Design, run, and analyze scientific experiments to advance model understanding.
- Develop and improve developer tooling to enhance team productivity.
- Contribute across the stack, from low-level optimizations to high-level model design.
- Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies.
- Design automated objective and subjective evaluations, including listening tests, SV/WER/ASR-based metrics, robustness and bias checks, and red-team studies.
- Harden training, evaluation, and inference pipelines; profile latency, memory, and cost; and meet production SLAs with monitoring and rollback.
- Contribute to safety and consent guardrails and misuse or abuse mitigation for speech technology.

## Requirements
- Exceptional research or development experience with large-scale audio models exceeding 8B parameters and 500,000 hours of data.
- Deep hands-on experience with diffusion and/or flow-matching transformers, including samplers, schedules, conditioning mechanisms, and distillation.
- Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders, including latent/tokenizer design, reconstruction and perceptual objectives, and adversarial training.
- Strong experience with multi-node, multi-GPU distributed training using FSDP, DeepSpeed, or equivalent technologies.
- Strong software engineering skills and experience building complex systems.
- Strong PyTorch and performance engineering skills, including profiling and use of CUDA, Triton, or C++ as needed.
- Experience shipping large-scale speech, audio, or multimodal generative models to production.
- Experience working with large-scale ML data and evaluating quality using subjective and objective signals.
- Experience with voice cloning, speech control or steerability, or expressive speech generation.
- Notable publications and/or open-source contributions in speech, audio, or machine learning.

## Compensation and Benefits
- Annual base salary: **$200,000-$220,000** (€170,000-€190,000).
- Competitive salary and generous company equity.
- Medical, dental, and vision insurance, with 99.99% of premiums covered by Cantina.
- 42 days of paid time off, including 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays.
- Generous parental leave and fertility support.
- 401(k) retirement savings plan.
- $500/month lifestyle spending account.
- Complimentary lunch and snacks for in-office employees.
- One Medical membership.

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