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Machine Learning Engineer, TTS

Cantina· Research
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EuropeFull-timePosted 5mo ago

About the role

Cantina is hiring a Research / ML Engineer to join the Speech Team to build end-to-end state-of-the-art speech systems (TTS and adjacent tasks) from data specs through production inference, integrating model, data, and evaluation workflows.

Responsibilities

  • Model Building: Architect, implement, pre-train, fine-tune, and post-train/alignment (e.g., GRPO/DPO) for large-scale speech models.
  • Project Leadership: Independently lead small research projects while collaborating on larger team initiatives.
  • Experimental Design: Design, run, and analyze scientific experiments to advance our understanding of the models.
  • Tool Development: Develop and improve dev tooling to enhance team productivity.
  • Full-Stack Contribution: Contribute to the entire stack, from low-level optimizations to high-level model design.
  • Data Ownership: Define data requirements and collaborate on acquisition, curation, augmentation, labeling quality, and synthetic data strategies.
  • Rigorous Evaluation: Design automated objective/subjective evaluations—listening tests, SV/WER/ASR-based metrics, robustness & bias checks, and red-team studies.
  • Pipeline Delivery: Harden the training → evaluation → inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback.
  • GPU Scaling: Partner with infrastructure to run distributed training/inference on cloud fleets and productionize models with reliability and observability.
  • Safety & Responsibility: Contribute to safety/consent guardrails and to misuse/abuse mitigation for responsible speech technology.

Qualifications

  • Exceptional research/development experience with large scale audio models (>3B models and >500k hours data).
  • Exceptional understanding and hands-on experience with transformer architectures and/or diffusion models (inc. distillation and streaming) and/or audio language modelling.
  • Strong experience with multi-node and multi-gpu distributed model training.
  • 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 models to production.
  • Background in working with large-scale ML data.
  • Ability to iterate on data,, and triangulate quality using subjective and objective signals.
  • Notable publications and/or open source contributions in speech/audio/ML.
  • Experience with voice-cloning, speech-control, voice-generation.

Skills

Required:Large-scale audio model developmentTransformer architectures and/or diffusion modelsDistributed multi-node and multi-GPU trainingPyTorch

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, and more!
Last updated Oct 14, 2026. Interested? Apply on the company site.
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