Sarj.ai is hiring an AI/ML Engineer to train and deploy speech models that power our voice communications platform. We work in Python and PyTorch on GCP. Strong deep learning fundamentals highly appreciated.
What you'll do
Train large-scale speech models (STT/TTS)
Work with modern speech architectures and push them to production
Build and maintain ML training pipelines for real-time voice processing
Develop evaluation frameworks and improve model performance
Collaborate with product and engineering to ship AI-powered features
What we're looking for
2+ years working with ML in production
Strong Python + PyTorch/PyTorch Lightning
Understanding of deep learning fundamentals
Experience with speech/audio ML is a strong plus
Experience with large-scale or distributed training
Familiarity with GCP (Vertex AI, Cloud Run, BigQuery)
Sarj.ai is a communications platform company that leverages AI to power voice communications. They develop and deploy large-scale speech models for speech-to-text (STT) and text-to-speech (TTS) capabilities. The company builds production-grade AI/ML infrastructure on Google Cloud Platform, combining fullstack engineering with advanced deep learning to deliver real-time voice processing features. Their platform integrates modern speech architectures with cloud-native deployment to enable AI-powered voice communications at scale.
