Machine Learning Engineer – Voice Conversion

Job not on LinkedIn

🔥 3 hours ago

🇺🇸 United States – Remote

💵 $200k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

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Cantina

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded founded by Sean Parker

🤖 Artificial Intelligence

🎮 Gaming

🌍 Social Impact

Artificial Intelligence • Gaming • Social Impact

Cantina is a company that specializes in creating advanced AI characters that can talk, feel, and capture their adventures with selfies. It offers a platform where users can unleash their AI bots in online communities, allowing these lifelike, social creatures to interact with humans. Cantina focuses on building networks of AI influencers and encourages users to explore and build their own collections of AI bots. The company's mission is to foster an interactive universe, inviting creativity and social interaction through digital personalities and AI technology.

📋 Description

• Architect, implement, pre-train, fine-tune, and post-train/alignment large-scale speech models • Design, run, and analyze scientific experiments to advance understanding of models • Develop and improve development 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 the training-to-evaluation-to-inference pipeline; profile latency, memory, and cost; meet production SLAs with monitoring and rollback • Contribute to safety and consent guardrails and misuse/abuse mitigation for responsible speech technology • Partner with research, data, infrastructure, and product teams to ship measurable improvements to speech 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 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 • Strong software engineering skills with a proven track record of building complex systems • Strong proficiency with PyTorch and performance work, including profiling and CUDA/Triton/C++ as needed • Experience writing reliable production-quality code • Experience shipping large-scale speech/audio or multimodal generative models to production • Background working with large-scale ML data and triangulating 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, or machine learning

🏖️ 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, and 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!