ML Research Engineer
Core
Building automated ontologies and AI voice agents that handle customer interactions (calls, orders, appointments) for local businesses.
Role type
Senior ML Research Engineer (Voice Agents & Ontologies)
Builds
Production-ready voice agents, automated ontologies, and knowledge graphs for small businesses.
Domain
AI Agents, Voice Technology, NLP, Knowledge Graphs
Deliverable
production ML models | product features
Required skills
Speech recognition (ASR), Large Language Models (LLMs), Reinforcement Learning (RL), Text-to-Speech (TTS), Ontology systems, Agent orchestration, PyTorch/JAX, CUDA/Triton optimization, GPU/TPU scaling, Knowledge graph construction, Human-in-the-loop systems
Preferred skills
Experience with retrieval-augmented generation (RAG), prompt engineering, edge device deployment, open-source contribution
Technologies
PyTorch, JAX, CUDA, Triton, GPU/TPU clusters, Edge devices
Responsibilities
Optimize ASR, LLMs, and TTS for noisy real-world environments; Fine-tune LLMs using RAG, RL, and prompt engineering; Integrate AI components into autonomous agents for complex tasks; Develop pipelines to construct knowledge graphs from business data; Scale models efficiently across GPU/TPU clusters and edge devices; Lead evaluations, error analysis, and iterative improvements; Balance research innovation with practical usability; Publish research and present at conferences
Seniority
Senior, hands-on IC with research leadership