Machine Learning Engineer/Advanced Speech & TTS – Build of Arabic Voice AI

Full Description

Machine Learning Engineer (Advanced Speech & TTS) – Build the Future of Arabic Voice AIMachine Learning Engineer (Advanced Speech & TTS) – Build the Future of Arabic Voice AI

Get AI-powered advice on this job and more exclusive features.

, we are on a mission to build the most advanced Arabic conversational AI, and voice is at the heart of this mission. We are developing human-like, multilingualTTS systems that redefine naturalness, expressiveness, and adaptability for real-world business and consumer applications.

We are looking for aMachine Learning Engineer (Advanced Speech & TTS)to lead the development of next-generation TTS models and voice cloning systems that set new benchmarks in the industry.

Role Overview

As a Machine Learning Engineer (Advanced Speech & TTS), you will design, train, and optimize cutting-edge TTS models using diffusion-based architectures, neural vocoders, and voice cloning techniques. You will collaborate with our speech scientists and AI engineers to build production-ready models that deliver ultra-realistic, controllable, and deployable Arabic speech synthesis.

What You’ll Do

• Design, implement, and train state-of-the-art TTS models, including:

• Diffusion-based architectures for ultra-natural speech

• Non-autoregressive models for real-time performance

• Multi-speaker TTS and zero-shot voice cloning

• Develop and optimize high-fidelity neural vocoders to achieve studio-quality audio with low-latency streaming capabilities

Voice Cloning & Adaptation

• Build speaker adaptation and voice cloning pipelines enabling rapid cloning of new voices with minimal data (few-shot or zero-shot approaches)

• Implement flexible voice style transfer, emotion conditioning, and controllable prosody for human-like speech generation

• Create scalable pipelines for audio-text alignment, phoneme extraction, and dataset augmentation across multiple Arabic dialects

• Utilize forced alignment tools (MFA) and phoneme-based modeling to enhance synthesis accuracy

• Conduct rigorous objective and subjective evaluations, including MOS testing, speaker similarity scoring, and intelligibility assessments

• Benchmark models against industry-leading TTS systems to continuously improve performance

Deployment & Optimization

• Optimize models for production using ONNX, Tensor

RT, quantization, and pruning to achieve real-time inference on cloud and edge devices

• Stay updated with the latest TTS, voice cloning, and speech synthesis research (NeurIPS, ICASSP, Interspeech, arXiv) and integrate breakthroughs into production systems

Required Qualifications

Education & Experience

• Master’s or PhD in Machine Learning, Speech Processing, Signal Processing, or related fields

• 3+ years of hands-on experience building and deploying advanced neural TTS or voice cloning systems

Technical Expertise

• Deep proficiency in Python and PyTorch (preferred) or Tensor Flow

• Proven experience with:

• Diffusion-based TTS models

• Multi-speaker TTS and voice cloning (speaker embedding, speaker adaptation, zero-shot cloning)

• Neural vocoders and deployment optimization for real-time performance

• Strong understanding of DSP fundamentals and neural audio modeling

Nice to Have

• Experience with multilingual or low-resource TTS adaptation, especially Arabic dialects

• Contributions to open-source TTS or speech synthesis projects

• Familiarity with LLM-integrated TTS approaches and context-aware speech synthesis

Why Join Us

• Lead the development of Arabic-first voice AI systems at the frontier of speech synthesis research

• Work in a collaborative environment with world-class AI engineers, linguists, and product teams

• Join a mission-driven startup shaping the future of human-computer voice interactions

• Enjoy flexible work arrangements, competitive compensation, and opportunities for rapid growth

Apply now and be part of building the future of Arabic voice AI.

Together, let’s wit-tify the future.

Seniority level

• Seniority level

Mid-Senior level

Employment type

• Employment type

Full-time

Job function

• Job function

Engineering and Information Technology

• Industries Technology, Information and Internet

Referrals increase your chances of interviewing by 2x

Get notified about new Machine Learning Engineer jobs in Riyadh, Riyadh, Saudi Arabia.

Software Engineer - Applied ML [Middle East]Data Center Operations Engineer - Mechanical/HVACSoftware Test Engineer (STE) – IST Switch - Riyadh, Saudi Arabia (Onsite)

Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Data Scientist – Utilities (Transmission Focus)

Data Center Operations Engineer - Controls Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics Software Test Engineer (STE) – Middleware - Riyadh, Saudi Arabia (Onsite)

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr