Applied AI Scientist (PhD)
About The Position
Outmarket is seeking an Applied AI Scientist to advance the capabilities of LLMs, NLP, and machine learning in practical applications. This role involves translating advanced research into customer-facing products quickly, working closely with founders, product leaders, and engineers to develop AI systems that function under real-world production constraints. The position offers the chance to apply cutting-edge AI research to live customer workflows and production systems, build solutions for document intelligence, quote comparison, and workflow optimization, and see research move from concept to deployment rapidly. The scientist will also play a key role in defining how applied AI can create a competitive advantage in a large, underserved market.
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.
Nice To Haves
- 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.
Responsibilities
- 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 integrate 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 the success of ideas when applied to real data.
Benefits
- Competitive compensation and meaningful equity.
- Remote-first flexibility.
- Direct collaboration with founders and real users.
- Access to real data, real users, and fast feedback cycles.
- The opportunity to help build an AI-native product from the ground up.
- The opportunity to bring advanced research to life in a major industry.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
Ph.D. or professional degree
