Senior Engineer — ASR / TTS / Speech LLM (Training + Eval + Integration)

About the role

Glia Voice Agents – multimodal conversational agents capable of answering patient calls, triaging symptoms using evidence-based protocols (e.g., Schmitt-Thompson), scheduling visits, and delivering education and follow-ups. Glia Productivity Agents – AI copilots for nurses that automate charting, scribing, and clinical decision support by integrating directly into EHR systems such as Epic and Athena.

What you'll do

• Prepare and maintain synthetic and real training datasets .STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment.Build evaluation for…
• Build scripts for data selection, augmentation (noise, codec, jitter), and corpus curation
• Implement evaluation pipelines to measure WER, entity F1, and latency; automate MLflow logging
• Experiment with bias-aware training and context list conditioning
• Collaborate with backend and DevOps teams to integrate trained models into inference stacks

What you need

• 4–7 yrs of experience
• LLMs
• Machine learning
• MLOps
• B.Tech or B.E. or M.Tech

Good to have

• Python
• PyTorch