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LightfieldAI Product Engineer
Engineer developing AI solutions for Lightfield, an intelligent CRM platform. Building innovative product experiences with a focus on large language models.
About the role
- Lead the end-to-end technical development of speech models (ASR, TTS, Speech-LLM) — from architecture, training strategy, and evaluation to production deployment.
- Act as an individual contributor and mentor, guiding a small team working on model training, synthetic data generation, active learning, and inference optimization for healthcare applications.
- Own the technical roadmap for STT/TTS/Speech LLM model training: from model selection → fine-tuning → deployment.
- Evaluate and benchmark open-source models using internal test sets for WER, latency, and entity accuracy.
- Design and review data pipelines for synthetic and real data generation.
- Architect and optimize training recipes and lead integration with Triton Inference Server.
- Implement Language Model biasing APIs and guide evaluation cycles.
Requirements
- M.S. / Ph.D. in Computer Science, Speech Processing, or related field.
- 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.
- Deep expertise in speech models (ASR, TTS, Speech LLM) and training frameworks (PyTorch, NeMo, ESPnet, Fairseq).
- Proven experience with streaming RNN-T / CTC architectures, LoRA/adapters, and TensorRT optimization.
- Strong understanding of telephony noise, codecs, and real-world audio variability.
- Experience deploying models with Triton Inference Server, Kubernetes, and GPU scaling.
- Hands-on with evaluation metrics (WER, F1 on entities, latency p50/p95).
- Strong mentorship and code-review discipline.
Benefits
- Health insurance
- Paid time off
- Flexible work arrangements
- Professional development opportunities
Job title
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Not specified
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