Machine Learning Engineer - Voice Conversion

Cantina

7d • $200,000 - $220,000

About The Position

Cantina is a new social platform founded by Sean Parker with the most advanced AI character creator. Our bots are lifelike, social creatures that can interact wherever people are online—across voice, video, and text. Create yourself, imagine someone new, or choose from thousands of characters to share infinitely scalable, personalized content and seamless group chat. If you’re excited about how AI can shape creativity and social interaction, come help us build what’s next. We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs through production inference. You’ll drive the model ↔ data ↔ eval flywheel for VC and adjacent tasks (controllable TTS, voice design and more), partnering closely with research, data, and infra to ship fast, reliable, and cost-aware models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Requirements

• Exceptional research/development experience with large-scale audio models (>8B parameters, >500k hours of data).
• Deep hands-on experience with diffusion and/or flow-matching transformers, including practical knowledge of samplers, schedules, conditioning mechanisms, and distillation.
• Deep hands-on experience training audio VAEs, neural audio codecs, and vocoders latent/tokenizer design, reconstruction and perceptual objectives, adversarial training.
• Strong experience with multi-node, multi-GPU distributed training (FSDP/DeepSpeed or equivalent).
• Strong software engineering skills with a proven track record of building complex systems.
• Strong with PyTorch and performance work (profiling, CUDA/Triton/C++ as needed) and writing reliable production-quality code.
• Shipped large-scale speech/audio or multimodal generative models to production.
• Background in working with large-scale ML data, and the ability to iterate on data and triangulate quality using both subjective and objective signals.
• Experience with voice cloning, speech control/steerability, or expressive speech generation.
• Notable publications and/or open-source contributions in speech/audio/ML.

Responsibilities

• Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models.
• Design, run, and analyze scientific experiments to advance our understanding of the models.
• 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 acquisition, curation, augmentation, labeling quality, and synthetic data strategies.
• Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies.
• Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback.
• Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.

Benefits

• Competitive salary and generous company equity
• Medical, dental, and vision insurance – 99.99% of premiums covered by Cantina
• 42 days of paid time off, including: 15 PTO days, 10 sick days, 15 company holidays, 2 floating holidays
• Generous parental leave & fertility support
• 401(k) retirement savings plan
• Lifestyle spending account – $500/month to use however you’d like
• Complimentary lunch and snacks for in-office employees
• One Medical membership

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed