Applied Scientist
Core
Research and develop state-of-the-art algorithms for autonomous voice agents, optimizing proprietary LLMs for agentic behaviors in real-time multimodal systems.
Role type
Applied Scientist (Agentic AI & Multimodal NLP)
Builds
Autonomous voice agents, DialpadGPT, and agentic workflows for business communications
Domain
AI, Machine Learning, NLP, Voice Technology
Deliverable
production ML models
Required skills
LLM training and fine-tuning (PEFT/LoRA), Agentic systems design (tool use, reasoning chains), Python, PyTorch, real-time speech processing, multimodal data handling
Preferred skills
Speech technologies (ASR, TTS), publishing in top-tier conferences (ACL, EMNLP, NeurIPS)
Responsibilities
Research algorithms for autonomous voice agents, advance DialpadGPT with distributed training strategies, evaluate and monitor model performance, design orchestration layers for LLMs and tools, work with multimodal datasets, collaborate on production deployment, submit academic papers
Seniority
Mid-level IC (2+ years for Master's, 1+ for PhD)
