Machine Learning Engineer – TTS

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🔥 32 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 10%

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Aiphoria

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

💼 Consulting

📦 Logistics

📣 Marketing

💰 $34M Series A - Aiphoria on 2025-07

Consulting • Logistics • Marketing

Aiphoria is a provider of AI-driven virtual employees and a proprietary platform that automates multi-channel customer-facing and back-office tasks. Its Aiphoria Pros are multilingual, multi-modal agents (voice, chat, email, calls) that handle support, sales, collections, legal, HR and marketing workflows for enterprise customers in industries such as banking, telecom and e‑commerce. The company offers cloud and on‑prem deployments, analytics and open-architecture integrations to reduce human labor, improve response times and boost customer satisfaction.

📋 Description

• Extend TTS to new languages through data collection and curation, text normalization/G2P, and model adaptation • Take new TTS architectures from research to production • Improve model robustness, latency, and quality in collaboration with MLOps on deployment • Advance existing models 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 better and why • Work within a small TTS team of 2–3 ML engineers, supported by MLOps and data engineering teams

🎯 Requirements

• 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

🏖️ Benefits

• 21 vacation days + public holidays + 5 sick days • Private English lessons via Preply • Fully remote across Europe • 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 • Fast career progression • Startup pace with enterprise stability — real clients, real revenue, no bureaucracy

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