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You will build and optimize data pipelines to enrich legal documents and develop systems for monitoring web-scraping reliability. Additionally, you will expose data services through APIs and evaluate core system capabilities using human review and synthetic data.
Join a small legal technology team building data infrastructure and AI-powered tools for legal research. You will help make a large body of U.S. case law more reliable, accessible, and useful through software and data services.
Build data pipelines that enrich legal documents with metadata, including relationships between court decisions.
Develop systems that monitor and improve the reliability and accuracy of web-scraping pipelines.
Optimize and evaluate services for citation extraction and resolution, as well as court hierarchy and authority analysis.
Expose data services through APIs and other integration interfaces.
Benchmark and evaluate core system capabilities using human review and synthetic data.
At least 2 years of experience as a hands-on software engineer and technical generalist, ideally in a small, high-growth startup or similarly high-engineering-bar environment.
Strong backend or data engineering fundamentals, with ownership of substantial projects, including greenfield work.
Proficiency in Python and SQL, and the ability to build and deploy projects end to end on a preferred infrastructure stack.
Experience with data pipelines and basic to intermediate infrastructure or DevOps work.
Recent experience with modern engineering tools and practices; familiarity with statistics, machine learning, or AI is useful.
A completed computer science degree and authorization to work without visa sponsorship.
Base salary: $170,000 to $240,000 annually. Visa sponsorship is not available.
Remote within the United States. Primary location: New York, New York.
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