Solve Hard, Messy Problems: Build AI-powered systems that can process complex documents, handle natural conversation, and automate high-friction workflows for law firms
Run Tight Feedback Loops: Design and execute evaluations, collect human feedback, and iterate rapidly to improve system accuracy and reliability
Stay Cutting-Edge: Track new research, tools, and frameworks and know when to bring them into production
Collaborate Deeply: Partner with product, ops, and legal experts to ensure solutions fit real-world needs
Ship With Confidence: Build for safety, observability, and performance from day one
Work Onsite: Join us in-person 4 days/week in NYC for high-context, high-speed collaboration

Have 3+ years building and deploying production ML systems (bonus if in NLP, OCR, speech, or agents)
Are comfortable moving across the stack (we use Python, AWS, LangChain, OpenAI APIs, React, and more)
Write clean, maintainable, and observable code and care about both experiments and production stability
Thrive in ambiguous environments and know how to make progress without a perfect spec
Are excited to work on applied AI where small improvements can unlock huge value for end users
Care about outcomes over algorithms—you’re here to solve problems, not just chase benchmarks.

Machine Learning Engineer

Key skills