Senior Machine Learning Engineer

📋 Description Own end-to-end ML lifecycle from training to production Productize pricing and underwriting models at scale Improve accuracy, latency, and reduce infrastructure costs Collaborate with Expert Pricers to inform model improvements Design experiments and backtesting to validate features Own pricing APIs on AWS for scalable low-latency serving 🎯 Requirements 7+ years engineering; 5+ years shipping production ML/AI Python/SQL in production; feature-engineering pipelines Train/validate gradient-boosted or ensemble models with tuning Leverage LLMs, foundation models for internal tools and prod use MLflow or similar for experiment tracking and registry Own production model-serving on AWS; scale and memory/timeout fixes CI/CD pipelines, orchestration, and IaC for cloud infra Pragmatic, value-driven, incremental delivery 🎁 Benefits Shape the future of Halcyon Labs and the alt asset space Autonomy and ownership on projects $100/month work-from-home stipend $200/month wellness stipend WeWork office stipend Flexible vacation policy