Machine Learning Engineer, TTS

Job not on LinkedIn

🔥 3 minutes ago

🇪🇺 Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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 • Independently lead small research projects while collaborating on larger team initiatives • Design, run, and analyze scientific experiments • Develop and improve development tooling • 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; and meet production SLAs with monitoring and rollback • Partner with infrastructure on distributed training/inference on cloud fleets and productionize models with reliability and observability • Contribute to safety/consent guardrails and misuse/abuse mitigation for responsible speech technology

🎯 Requirements

• 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, including 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, including 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, and voice generation • Experience with audio language modelling and transformer architectures • No educational credential explicitly required

🏖️ 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