Middle Applied Scientist – Multilingual Voice, Voice Cloning

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Omilia - Conversational Intelligence

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Artificial Intelligence • eCommerce • Customer Service

Omilia is a leader in Conversational AI, specializing in voice and chat solutions that enable natural, end-to-end customer interactions. Their Omilia Cloud Platform provides advanced AI-driven customer service tools, including real-time agent assistance, voice biometrics for fraud prevention, and data analytics to enhance customer insights. Serving industries such as finance, insurance, retail, automotive, and travel, Omilia focuses on automating customer service while ensuring a secure and personalized experience.

201 - 500 employees

Founded 2002

🤖 Artificial Intelligence

🛍️ eCommerce

📋 Description

• - The primary focus is the research, development, and implementation of robust TTS and Voice Cloning systems for global expansion into new and diverse locales, covering the entire speech synthesis pipeline. • - This role requires end-to-end involvement in launching TTS for new languages, ensuring quality and scalability across all stages. • - Conduct thorough language analysis, phonetic/phonology studies, and define the phoneme set for new target languages. Design and implement the lexicon and G2P (Grapheme-to-Phoneme) development process to ensure accurate pronunciation modeling. • - Actively participate in the initial stages of voice creation projects: Assist in voice talent selection to meet aesthetic and linguistic requirements. Collaborate on corpus design, defining sentence structure and coverage, and overseeing the corpus creation, recording, and quality review process. Cooperate on voice style design to define the desired emotional and speaking characteristics for the synthetic voice. • - Lead TTS model training/evaluation for multiple languages, ensuring high-quality synthesis and speaker consistency. Adapt or extend current TTS Voices data flow/pipeline for new languages and actively contribute to developing/training new models. Conduct rigorous listening tests (e.g., MOS score evaluation) and error analysis to drive model improvements, collaborating closely with internal listening testers. • - Conduct applied research into low-resource voice adaptation and few-shot voice cloning techniques to rapidly deploy high-quality new voices across various markets. • - Work closely with MLOps and engineering teams to transition successful models into a low-latency, high-scale production environment for global deployment. Prototype new research ideas and optimize existing model architectures for real-world performance. • - Actively participate in Agile software development processes, including sprint planning, daily stand-ups, and retrospectives to ensure timely and high-quality deliverables. Work closely with cross-functional teams, including product managers, designers, and other engineers, to gather requirements and ensure alignment on project goals. Participate in project planning, including research and development. Contribute to the backlog of tasks with improvements and suggestions. Implement Proof of Concepts (PoC) to introduce new solutions and ideas to the team. Effectively manage time and meet deadlines. • - Meet regularly with the line manager to review progress. Manage issue resolution and critically escalate. Work effectively with other teams, units, and departments. Manage issues with clarity and ensure effective information flow and team working. Support organization's other priority activities, when necessary. Act as an Omilia ambassador.

🎯 Requirements

• - MSc degree in Computer Science, Engineering, or a related subject. • - 2+ years of experience in speech synthesis development roles. • - Ph.D. in a relevant field is a plus but not required. • - Proven experience in developing AI-driven applications, particularly in speech synthesis, voice cloning, or related fields. • - Strong understanding of state-of-the-art voice LLM techniques • - Proficiency in Python and deep learning frameworks like PyTorch or TensorFlow. • - Hands-on experience with TTS frameworks (e.g. FastPitch, VITS, StyleTTS, StyleTTS2) and neural vocoders (e.g., HiFi-GAN, WaveGlow, Vocos) • - Hands-on experience with LLMs, Diffusion models and Neural Audio Codecs. • - Familiarity with zero-shot synthesis approaches and multi-speaker TTS systems. • - Self-motivated and driven to create extraordinary things. • - Ability to work under pressure and on strict deadlines. • - Continuous innovation mindset. • - Excellent written and oral communication skills in English. • - Effective time management skills and the ability to meet deadlines. • Nice to have • - Experience with AWS cloud platform for scalable model deployment and monitoring. • - Experience with NVIDIA Triton Inference Server. • - Experience with MLOps practices.

🏖️ Benefits

• - Fixed compensation; • - Long-term employment with the working days vacation; • - Development in professional growth (courses, training, etc); • - Being part of successful cutting-edge technology products that are making a global impact in the service industry; • - Proficient and fun-to-work-with colleagues; • - Apple gear.