Develops computational operators to enable LLMs to perform transparent, verifiable reasoning over thousands of iterations on knowledge states like scientific papers. Requires LLM experience, reasoning intuitions, and strong software engineering skills.
Develops next-generation multimodal LLMs integrating speech, text, tools, and real-time reasoning for conversational AI agents. Requires strong background in LLMs, multimodal models, fast experimentation, and production deployment experience.
Conducts foundational research and develops scalable ML models for speech-to-text, text-to-speech, and neural audio codecs in real-time voice AI agents. Requires deep expertise in voice modeling, self-supervised learning, and production deployment at enterprise scale.
Forward Deployed Research Scientist collaborates with frontier AI labs on data strategies, fine-tunes open-weight LLMs, runs ablation studies, and validates data impact for client projects. Requires MS/PhD in ML/NLP/CS, hands-on LLM fine-tuning, and fast-paced experimental rigor.
Develops theories of intelligence grounded in neural network internal structures, focusing on belief geometries in LLMs and biological brains. Conducts experiments bridging mathematics, ML interpretability, and safety research; requires PhD-level quantitative depth and hands-on coding.