Machine Learning TTS Engineer

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🔥 20 horas atrás

🇵🇹 Portugal – Remoto

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🤖 Engenheiro de Machine Learning

👻 Score fantasma 12%

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Aiphoria

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2022

💼 Consultoria

📦 Logística

📣 Marketing

💰 $34.000.000 Series A - Aiphoria em 2025-07

Consulting • Logistics • Marketing

A Aiphoria é um fornecedor de funcionários virtuais impulsionados por IA e uma plataforma proprietária que automatiza tarefas de atendimento ao cliente e administrativas em múltiplos canais. Seus Aiphoria Pros são agentes multimodais e multilíngues (voz, chat, e-mail, chamadas) que gerenciam fluxos de trabalho em suporte, vendas, cobranças, legal, RH e marketing para clientes empresariais em setores como bancos, telecomunicações e e-commerce. A empresa oferece implementações na nuvem e no local, análises e integrações de arquitetura aberta para reduzir a mão de obra humana, melhorar os tempos de resposta e aumentar a satisfação do cliente.

Descrição

• Extend TTS to new languages through data collection and curation, text normalization/G2P, and model adaptation • Take new TTS architectures from research to production by improving robustness, latency, and quality, working closely with MLOps on deployment • Push existing models further through post-training, data curation, architectural improvements, and new training approaches • Build efficient audio data pipelines from speaker recording and preprocessing to model training • Design rigorous benchmarks and evaluations to determine whether new model iterations are genuinely better and why • Join a small TTS team of 2–3 ML engineers supported by a dedicated MLOps team and a data engineer

🎯 Requisitos

• 3+ years of experience in speech technology with hands-on TTS experience • Hands-on experience with modern LLM-based TTS approaches (e.g., VALL-E, CosyVoice, XTTS) • Experience making TTS models production-ready: stability, robustness, and inference efficiency at the model level • Proficiency in deep learning frameworks, especially PyTorch • Understanding of modern ML fundamentals: Transformers, diffusion/flow matching, neural audio codecs, and vocoders • Understanding of streaming TTS constraints (latency, chunked/incremental generation) and how they shape model architecture choices • Knowledge of audio signal processing and the linguistic side of TTS (phonetics, text normalization) • Basic experience with speech data processing (segmentation, alignment, quality filtering) • Familiarity with TTS evaluation methods (MOS, SBS) • Strong Python skills and solid software engineering practices • Proven ability to independently explore new ideas and improve existing ML systems • BS or higher in Computer Science or a related field, or equivalent experience • English B2+ • Experience with low-resource languages, including dataset creation and augmentation • Experience designing recording scripts and specs for TTS voice datasets • MLOps/DataOps experience, e.g., MLflow, DVC, or similar experiment tracking tools • C++ skills • Publications in speech/ML venues

🏖️ Benefícios

• The team has built award-winning AI products for tech corporations — devices, voice assistants, products that are actually in the world • Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment • High engineering bar and real ownership — the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly • Fast career progression — a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else • Startup pace with enterprise stability — real clients, real revenue, no bureaucracy • Fully remote across Europe • 21 vacation days + public holidays + 5 sick days • Private English lessons via Preply

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