Lead AI Scientist

About the Role: This is a tech-lead, model building / development–focused role—ideal for someone with a strong foundation in applied AI research and a passion for making machine learning work in the real world. You'll own experiments, iterate on PoCs, and help define how ML models are built for in production environments. What You'll Bring 7+ years of machine learning and NLP / LLM modeling experience in applied research and production environments PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred Technical leadership experience required; direct people management a plus Experience with LLMs, agentic AI or generative AI for customer-facing applications Background in: deep learning or NLP preferred; experience building neural networks like CNNs, RNNs, LSTM, or similar Cloud environments (provider-agnostic), AWS or GCP a plus Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred Publication and patent history a plus Strong collaboration and communication skills, including experience working with non-technical stakeholders Independent problem-solver with a proactive mindsetHOW TO APPLYPlease register your interest by sending your résumé to Tim Jonas via the Apply link on this page. KEYWORDSMachine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval Seniority level Mid-Senior level Employment type Full-time Job function Science and Project Management IndustriesLegal Services and Financial Services