СШАMember of Technical Staff, Data Science
1 мес. назад
200k–300k USD / годСШАLeadOnsite
Data science role at an AI-native legal platform combining technology and legal expertise to improve corporate legal services.
О компании
- is built on a simple conviction: a great legal system is the watermark of a great society — and the best legal work comes from combining human expertise with the right technology, not replacing one with the other. is the first AI-native law firm, helping ambitious companies like Cursor, Ramp, and Cognition sign commercial contracts faster. Legal work is both art and science, and we're mapping the frontier between the two — codifying what can be systematized, amplifying human judgment where it matters most. That's why the right way to bring AI into law isn't to sell software and walk away. It's to own the outcome together: higher-quality work, delivered faster. We build proprietary tools and human-in-the-loop workflows that change what's possible for corporate legal teams. was founded by Ryan (Stanford Law, Cooley, startup GC) and John (Penn, first 15 engineers at Ramp). Help us transform one of society's most important industries.
- is an AI-first legal platform reimagining corporate legal services from the ground up. We are a team of technologists and legal experts who build proprietary technology and human-in-the-loop workflows that meaningfully improve how lawyers and machines work together — delivering speed, consistency, and quality across high-stakes work.
- Our systems review complex documents faster and with exceptional accuracy, combining advanced AI with structured legal expertise. Clients receive AI-powered redlines, commentary, and negotiation guidance within hours, at a predictable, volume-based price.
- Backed by Sequoia, Index Ventures, and Bain Capital Ventures, we're building the end-to-end contracting platform for the next generation of fast-growing companies.
Обязанности
- As a Data Scientist at , you'll play a critical role in developing the models and data systems that power our AI-driven legal platform. You’ll work across the full lifecycle — from data definition and labeling strategy to model development, evaluation, and iteration in production.
- You’ll partner closely with engineers, product teams, and legal experts to translate complex legal workflows into structured machine learning systems. Beyond modeling, you’ll help ensure our systems are accurate, reliable, and continuously improving in real-world use.
- Develop evaluation systems: Build metrics, benchmarks, and experimentation frameworks to measure and improve model performance.
- Drive data strategy: Partner with legal and product teams to define labeling schemas, curate high-quality datasets, and improve data pipelines.
- Support production systems: Work closely with engineering to deploy models, monitor performance, and iterate based on real-world usage.
- Apply AI pragmatically: Leverage LLMs and other modern techniques to solve product problems, balancing sophistication with reliability and speed.
- Collaborate cross-functionally: Partner with engineering, product, and legal teams to deliver end-to-end systems that improve customer outcomes.
Требования
- 1–5 years of experience in data science, machine learning, or applied NLP, ideally in a fast-paced startup environment
- Strong foundation in machine learning, statistics, and data analysis, with proficiency in Python
- Hands-on experience working with LLMs, NLP systems, or unstructured text data
- Experience working across the full ML lifecycle — from data curation and experimentation to deployment and monitoring
- Highly analytical with strong problem-solving skills and the ability to translate ambiguous problems into structured solutions
- Strong communicator who can collaborate effectively with both technical and non-technical stakeholders
Другое
- The Engineering team builds the core systems and infrastructure that power ’s AI-first legal platform. We work at the intersection of machine learning, product, and legal expertise to deliver intelligent, reliable systems that operate in high-stakes environments.
- We prioritize speed, ownership, and high standards — shipping quickly while maintaining rigor in everything we build.