Applied AI Scientist – PhD

🕒 July 28

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 41%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Outmarket AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

Artificial Intelligence • Insurance • SaaS

Outmarket AI is an AI-driven SaaS platform purpose-built for insurance agencies and brokerages. It automates and accelerates insurance workflows—quote comparison, coverage gap analysis, contract/lease requirement checks, tower analysis, proposal generation, loss-run insights, ACORD form filling, and policy verification—by integrating with major agency management systems (e. g. , AMS360, Applied Epic, HawkSoft) and common document stores and email systems. The company emphasizes enterprise security (single-tenant architecture, zero data retention, SOC 2 Type II, HIPAA-ready), serves 250+ agencies, and positions itself to save underwriting/producer teams many hours per week while reducing errors and increasing revenue.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.