ML Research Engineer
Core
Transform cutting-edge research into production-ready voice agents and automated ontologies for local businesses.
Role type
Senior IC ML Research Engineer (voice & agents)
Builds
Autonomous voice agents, knowledge graphs, and adaptive AI systems for restaurant operations
Domain
AI/ML, Voice Technology, NLP, Knowledge Graphs
Deliverable
production ML models
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
Preferred skills
Retrieval-augmented generation (RAG), Prompt engineering, Human-in-the-loop systems, Edge device deployment, Open-source contribution
Technologies
PyTorch, JAX, CUDA, Triton, GPU/TPU clusters
Responsibilities
Optimize ASR, LLMs, and TTS for noisy environments; Fine-tune LLMs with RAG and RL; Integrate AI into autonomous agents; Develop pipelines for knowledge graphs; Scale models across GPU/TPU clusters; Lead evaluations and error analysis; Balance research innovation with practical usability
Seniority
Senior, hands-on IC