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описание
Cantina is a social platform featuring an AI character creator. Its lifelike social characters interact across voice, video, and text, enabling users to create characters and share personalized content and group chats.
задачи
Architect, implement, pre-train, fine-tune, and post-train or align large-scale speech models
Design, run, and analyze scientific experiments to advance understanding of models
Develop and improve tools that enhance team productivity
Contribute across the stack, from low-level optimizations to high-level model design
Define data requirements and collaborate on data 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 the training, evaluation, and inference pipeline; profile latency, memory, and cost; and meet production SLAs with robust monitoring and rollback
Contribute to safety and consent guardrails and mitigate misuse and abuse of speech technology
требования
Exceptional research or 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 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 (FSDP/DeepSpeed or equivalent)
Strong software engineering skills and a proven track record of building complex systems
Strong PyTorch skills, performance profiling, CUDA/Triton/C++ as needed, and production-quality coding
Experience shipping large-scale speech/audio or multimodal generative models to production
Background working with large-scale ML data and ability to iterate on data and assess quality using 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
условия
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: 15 PTO days, 10 sick days, 15 company holidays, and 2 floating holidays
Generous parental leave and fertility support
401(K) retirement savings plan
Lifestyle spending account of $500/month
Complimentary lunch and snacks for in-office employees
