Applied AI Scientist

Role Description

We are hiring an Applied AI Scientist to push the frontier of what is possible with LLMs, NLP, and machine learning in real-world environments. This is not a role for someone who wants to optimize benchmarks in isolation and hand work off to someone else. It is a role for someone who wants to see advanced research become customer-facing product quickly.

• Work closely with founders, product leaders, and engineers to turn advanced AI techniques into systems that operate under real production constraints.

Qualifications

• PhD in Computer Science, Machine Learning, NLP, or a related field.
• Strong research background with publications in top-tier AI venues such as NeurIPS, ACL, ICML, or EMNLP.
• Hands-on experience with LLMs, transformers, embeddings, or neural information retrieval.
• Proficiency in Python and ML tooling such as PyTorch, Hugging Face, and LangChain.
• Track record of applying research in practical, production-oriented systems.
• Strong technical judgment about what is novel, what is useful, and what is actually ready to ship.

Requirements

• Experience with unstructured data such as PDFs, forms, contracts, or portals.
• Background in enterprise or B2B AI applications.
• Familiarity with insurance, legal, or document-heavy industries.

Benefits

• A high-impact role with ownership from day one.
• Competitive compensation and meaningful equity.
• Direct collaboration with founders and real users.
• Remote-first flexibility.
• The opportunity to help build an AI-native product from the ground up.
• Access to real data, real users, and fast feedback cycles.
• The opportunity to bring advanced research to life in a major industry.