Staff Software Engineer (Machine Learning, Full-stack)

• Design, build, and own Elixir backend systems used across onboarding, fraud detection, compliance, and operations with a direct impact on the experience of hundreds of thousands of clients • Build and maintain data pipelines, integrations, and analytics infrastructure for a rapidly growing team • Develop internal tools used daily by operations and compliance teams • Build and maintain training and inference infrastructure for machine learning models and contribute to models where appropriate • Productionize outputs from machine learning models, heuristics, and LLM-based systems • Partner closely with product management and operations to plan and scope new projects and initiatives • Write high-quality, tested code • Participate in code reviews • Take long-term ownership of critical systems as River scales • What we look for in you • 6+ years of experience in software engineering • You have designed, built, and maintained production systems at scale and understand how to build reliable systems • You take ownership of systems and are comfortable solving ambiguous problems • You have experience working with data-heavy systems, pipelines, and complex integrations • You are familiar with machine learning systems and how models are trained, deployed, and used in production • You have strong judgment around correctness, reliability, and operational risk • You're excited about what we are building at River