Source description
About the role
We're hiring a senior software engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services.
Responsibilities include
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Building pipelines that augment documents with metadata, e.g., which decisions overrule another decision, which decisions are an appeal/remand/consolidation of another decision, etc. Our competitors still label these by humans making $300+/hr.
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Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
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Optimizing and evaluating our core utils, which do things like extracting and resolving citations, determining which courts are able to overrule which other courts, etc.
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Exposing core services on our data via APIs, MCPs, websockets.
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Benchmarking and evaluation of core tasks (human and synthetic).
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We believe in skipping what can be skipped and appreciate simple solutions to complex problems.
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Good candidates for this role should be (1) technical generalists, definitely across the backend (bonus for fullstack), and (2) comfortable working with data pipelines, including basic to intermediate infra/devops.
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Interest/experience with stats/ML/AI is a bonus, but not critical. You should be cautiously AI-pilled.
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Tech stack isn't critical, Python and SQL are core. Definitely be able to stand up your own projects on your preferred infra end-to-end.
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Role is in-person at our office in SoHo, NYC. Competitive cash/benefits/salary.
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Skills: Python, PostgreSQL, ElasticSearch, Playwright, GCP, Pinecone, Prefect, NeonDB.
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Visa sponsorship available; relocation not available.
