Applied AI Scientist (PhD)

Apply cutting-edge AI research to live customer workflows and production systems.

Work directly with founders and a highly experienced technical team.

Build solutions for document intelligence, quote comparison, workflow optimization, and other high-value use cases.

See your work move from research to deployment in weeks, not quarters.

Help define how applied AI creates advantage in a large, underserved market.

Research and develop LLM-based solutions for NLP, document intelligence, semantic search, and data extraction.

Design and improve prompt strategies, retrieval-augmented generation systems, and fine-tuned models.

Partner with product and engineering teams to bring AI capabilities into customer-facing workflows.

Build evaluation pipelines and benchmarks for accuracy, performance, and robustness.

Stay current on new research and rapidly test promising techniques in practical settings.

Operate as both a scientist and builder, with direct responsibility for whether ideas survive contact with real data.

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.

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.

A high-impact role on a team that moves quickly and builds with purpose.

Access to real data, real users, and fast feedback cycles.

The opportunity to bring advanced research to life in a major industry.