Research Engineer
Core
Building core methodological problems at the intersection of LLM-heavy systems, knowledge representation, evaluation, and legal reasoning to create systems that improve over time.
Role type
Senior/Staff Research Engineer
Builds
Reusable experimentation frameworks, evaluation datasets, benchmarks, and computational models of law
Domain
Legal AI, Machine Learning, Knowledge Representation
Deliverable
production ML models
Required skills
experimental design, statistical reasoning, Python, rigorous experimentation, ambiguity handling, independent ownership
Preferred skills
NLP, information retrieval, document understanding, graph-based representations, legal domain experience, publications
Technologies
Python, LLM systems
Responsibilities
Build and maintain a reusable experimentation framework; Design rigorous experiments including ablations and baselines; Create evaluation datasets and benchmarks; Prototype and validate computational models of law; Adapt and invent methods with meaningful compute; Write internal research reports; Collaborate with scientists, ML engineers, and legal experts
Seniority
Senior/Staff, hands-on IC