Senior Machine Learning Engineer (Speech Synthesis, AI)

TL;DR

Senior ML Engineer (Speech Synthesis, AI): Building hirify.global’s next-generation speech synthesis systems, defining the stack, architecture, and best practices for training and deploying state-of-the-art multilingual text-to-speech (TTS) models that power voice AI agents. Focus on engineering systems optimized for real-time, streaming speech generation with sub-100ms response targets.

Location: Remote

Company

hirify.global is building the future of global connectivity through a private, global, multi-cloud IP network and hyperlocal edge technology.

What you will do

• Design and implement ML training and inference pipelines for multilingual speech synthesis.
• Engineer systems optimized for real-time, streaming speech generation with sub-100ms response targets.
• Build and fine-tune multilingual TTS systems using modern architectures, including LLM-based, diffusion, and flow-matching approaches.
• Develop pipelines for ingesting, aligning, and normalizing text, audio, and phonetic data across dozens of languages.
• Run distributed training across multi-node GPU clusters, tracking results and iterating quickly.
• Evaluate emerging techniques and bring them to life in production-grade systems.

Requirements

• 6+ years of experience in machine learning or speech systems engineering
• Hands-on expertise with neural TTS, speech synthesis, or adjacent areas (ASR, voice cloning, multilingual modeling)
• Experience with LLM-based approaches to speech synthesis or prosody control
• Strong proficiency in Python and PyTorch
• Ability to deploy models efficiently (ONNX, TensorRT)
• Experience leading small teams and defining technical direction or team executables

Culture & Benefits

• Joining a company where voice, infrastructure, and AI converge.
• Building the foundation for real-time, intelligent global communications.