Job Description

We’re hiring a senior software/data engineer to help build the largest case
law dataset and search engine. Our data coverage includes US laws and court
decisions.

Responsibilities of software engineers working on our data include:

* 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.
* 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.
* Exposing core services on our data via APIs, MCPs, websockets
* Lots of benchmarking and evals (human and synthetic)

We believe in evals, the bitter lesson, and skipping what can be skipped.

Good candidates for this role should be (1) technical generalists, definitely
across the backend (bonus for fullstack) (2) Data scientists at heart, bonus
for deep domain expertise in any domain eg. physics/radiology.

Experience working with data is good, both big data and small data. One or
more of data science/stats/ML/AI is expected, but not critical. You should be
cautiously AI-pilled.

Tech stack isn’t critical, Python and SQL are core, JS/TS would be nice.
Definitely be able to stand up your own projects on your preferred infra (end-
to-end), but production-grade devops/mlops is nice to have but not required.

Role is in-person at our office in SoHo, NYC. Competitive
cash/benefits/salary.