Tech Lead — ASR / TTS / Speech LLM (IC + Mentor)

OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams and automate routine workflows. The Tech Lead will oversee the technical development of speech models, guiding a team in model training, data generation, and optimization for healthcare applications.

Responsibilities:

• Own the technical roadmap for STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment
• Evaluate and benchmark open-source models (Parakeet, Whisper, etc.) using internal test sets for WER, latency, and entity accuracy
• Design and review data pipelines for synthetic and real data generation (text selection, speaker selection, voice synthesis, noise/distortion augmentation)
• Architect and optimize training recipes (LoRA/adapters, RNN-T, multi-objective CTC + MWER)
• Lead integration with Triton Inference Server (TensorRT/FP16) and ensure K8s autoscaling for 1000+ concurrent streams
• Implement Language Model biasing APIs, WFST grammars, and context biasing for domain accuracy
• Guide evaluation cycles, drift monitoring, and model switcher/failover strategies
• Mentor engineers on data curation, fine-tuning, and model serving best practices
• Collaborate with backend/ML-ops for production readiness, observability, and health metrics