ML Engineer; Voice - Arabic

We are a venture backed startup building production machine learning systems, and we are looking for a part time Machine Learning Engineer to join a small, senior technical team.

This is a hands on role with real ownership. You will work directly on speech and voice models that are already live, improving how they perform, scale, and hold up in real world conditions. You will move quickly between experiments and production, work closely with research, platform, and backend engineers, and see the impact of your work almost immediately. If you like shipping, iterating fast, and owning what you build, this role will feel natural.

• Training and improving speech and voice models in production
• Turning research ideas into systems that actually ship
• Working with real audio data and helping shape how it is collected and labeled
• Improving latency, reliability, and cost across deployed models

• Fluency in Arabic and English
• Strong fundamentals in computer science, algorithms, and statistics
• Real experience building and shipping machine learning models
• Comfortable working in Python with PyTorch, Tensor Flow, or similar frameworks
• Familiarity with speech and audio concepts like voice activity detection, noise suppression, augmentation, or echo cancellation
• Ownership mindset and comfort operating with limited structure
• Master’s or PhD in Computer Science, Machine Learning, AI, or a related field is required

• Prior experience working on voice or speech AI