Senior Machine Learning Engineer (Speech Synthesis)

Join Telnyx as a Senior Machine Learning Engineer (Speech Synthesis) and be a founding member of the team building next-generation speech synthesis systems. This is a greenfield opportunity where you will define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech models. You will work on everything from distributed training pipelines to inference services that generate ultra-low-latency, lifelike voices across dozens of languages. Your work will bridge research and production, shaping how millions of people experience real-time conversational AI.

• Define the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models.
• Design and implement the ML training and inference pipelines for multilingual speech synthesis, ensuring low-latency TTS.
• Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.

• Experience leading small teams and defining technical direction or team executables
• Production mindset: You build systems that run fast, stay stable, and are easy to maintain
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• You’ve obsessed over one or two hard problems, whether it’s building multilingual TTS from noisy data, teaching LLMs to speak, designing self-supervised audio encoders, or making diffusion models run in real time
• Experience with LLM-based approaches to speech synthesis or prosody control
• 6+ years of experience in machine learning or speech systems engineering