Join a small engineering team building legal data infrastructure for AI-powered research tools and business data services. You will help expand and improve a large collection of U.S. laws and court decisions, making reliable legal information accessible to software products and organizations.
Build data pipelines that enrich legal documents with relationships such as appeals, remands, and decisions that overrule earlier rulings.
Improve the reliability and accuracy of a large network of web scrapers.
Optimize and evaluate core systems for citation extraction and resolution, and for modeling relationships between courts.
Expose data services through APIs and other real-time integrations.
Develop benchmarks and evaluations for core tasks using human and synthetic data.
Senior-level, hands-on software engineering experience, including at least 2 years as a technical generalist working across backend systems.
Strong engineering fundamentals and ownership of core systems or greenfield projects, ideally in a small, fast-moving team.
Proficiency with Python and SQL, plus experience taking projects from development through deployment on your preferred infrastructure.
Basic to intermediate infrastructure or DevOps experience.
Clear communication skills and an interest in statistics, machine learning, or AI. Familiarity with modern AI tools is a plus.
Annual salary range: $170,000 to $240,000 USD. Visa sponsorship is available.
On-site in New York, New York, United States.
Job details are sourced from the employer's original posting.
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