OutcomesAI
Tech Lead — ASR / TTS / Speech LLM (IC + Mentor)
Boston
Sponsorship not specifiedDetected 254 days ago
KubernetesMachine LearningPyTorchData EngineeringNLPLLMsComplianceHIPAAEpicEHR/EMRCommunicationMentoring
About the role
- Our solution combines AI voice agents and licensed nurses to handle patient communication, symptom triage, remote monitoring, and post-acute care - reducing administrative burden and enabling clinicians to focus on direct patient care.
- This role is a blend of individual contribution and mentorship.
Responsibilities
- Own the technical roadmap for STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment.
- 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.
- As a Tech Lead specializing in ASR, TTS, and Speech LLM, you will spearhead the technical development of speech models.
- This involves everything from architectural design and training strategies to evaluation and production deployment.
Requirements
- 7-10 years of experience in applied ML, at least 3 in speech or multimodal AI.
- Track record of shipping production ASR/TTS models or inference systems at scale.
- Experience deploying models with Triton Inference Server, Kubernetes, and GPU scaling.
- Familiarity with LM biasing, WFST grammars, and context injection.
- Proven experience with streaming RNN-T / CTC architectures, LoRA/adapters, and TensorRT optimization.
- Strong understanding of telephony noise, codecs, and real-world audio variability.
- M.S. / Ph.D. in Computer Science, Speech Processing, or related field.
Skills
- All models operate within a HIPAA-compliant and SOC 2-certified framework.
Benefits
- OutcomesAI is a healthcare technology company building an AI-enabled nursing platform designed to augment clinical teams, automate routine workflows, and safely scale nursing capacity.
- OutcomesAI partners with leading health systems and virtual care organizations to deploy and validate these capabilities at scale.
- You will guide a small team focused on model training, synthetic data generation, active learning, and inference optimization, all within the context of healthcare applications.
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This listing is sourced directly from OutcomesAI's careers page and normalized into a canonical job model.