Zincrin AI

About the Role Weʼre building a machine learning-powered legal risk assessment platform. As our Lead ML Engineer, youʼll architect and implement ML systems that enhance our existing six-pillar algorithmic risk engine, focusing on case outcome prediction with 70-79% accuracy across 100,000+ legal cases. Location: Remote | Type: Full-time | Compensation: $160,000- $200,000 | equity Key Responsibilities Design and build ML ensemble systems using PyTorch and Transformers Develop A/B testing frameworks to validate ML performance against algorithmic baselines Implement model interpretability features for regulatory compliance (SEC/FINRA) Create hybrid systems with automatic fallback to algorithmic predictions Required Skills 5+ years production ML experience (not research-only) Expert-level PyTorch and Transformer models Experience with model interpretability and explainability FastAPI or similar high-performance Python frameworks Track record of ML systems serving 1000+ requests per second Preferred Experience Legal tech or financial ML applications Multi-database architectures / PostgreSQL, MongoDB, Redis, Pinecone) Regulatory compliance environments