Scan your resume against ATS criteria for this Applied AI Scientist (PhD) role at Outmarket AI.
Outmarket is the AI platform for insurance, trusted by more than 250 brokerages to run the work their business depends on. Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly what we automate: quote comparisons, coverage gap and tower analysis, policy review, and proposal generation, all grounded in our customers’ own data and source-cited so teams can trust the output.
The impact is concrete. Teams save 12 to 15 hours per person every week, cut errors by roughly 65 percent, and win more business, all on infrastructure that is SOC 2 Type II certified, single-tenant, and never used to train AI models. We are an AI-first company in both what we build and how we work, shipping quickly and in close partnership with the agencies that rely on us.
A high-impact role with ownership from day.
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.
We are hiring an
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.
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.
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Hands-on experience with LLMs, transformers, embeddings, or neural information retrieval.
Proficiency in
and ML tooling such as
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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
AI applications.
A high-impact role on a team that moves quickly and builds with purpose.
Competitive compensation and meaningful equity.
Remote-first flexibility.
Access to real data, real users, and fast feedback cycles.
The opportunity to bring advanced research to life in a major industry.
How to apply for Applied AI Scientist (PhD) at Outmarket AI?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
This position is open to freshers and experienced candidates.
Is this position still open?
Yes, currently active and accepting applications.
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Applied AI Scientist (PhD)
Outmarket AI · Remote US
