ABOUT OUTMARKET

Outmarket is building an AI-first platform that is transforming how brokers, MGAs, and carriers access insights and automate workflows. We are already deployed with leading agencies and are solving complex problems using large language models, embeddings, and intelligent document understanding at scale.

Our team combines deep technical and product experience from Uber, Meta, Ethos, Adobe, and IBM Watson. We are focused on applying advanced AI in ways that create measurable value for customers.

ABOUT THE ROLE

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.

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

WHY THIS ROLE

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.

WHAT YOU’LL DO

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.

WHAT WE’RE LOOKING FOR

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.

BONUS IF YOU HAVE

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.

WHAT YOU’LL GET

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

Applied AI Scientist (PhD)