Staff Software Engineer (Machine Learning, Full-stack)

About This Role

This Staff Software Engineer will build and own data-heavy backend systems that power automation and decision-making across various business functions, focusing on integrating and leveraging AI/ML in production. The role involves developing reliable, scalable services, data pipelines, and internal tooling for a rapidly growing fintech company.

Responsibilities

• Design, build, and own Elixir backend systems used across onboarding, fraud detection, compliance, and operations
• Build and maintain data pipelines, integrations, and analytics infrastructure
• 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
• 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

Requirements

• 6+ years of experience in software engineering
• Experience designing, building, and maintaining production systems at scale
• Ability to take ownership of systems and solve ambiguous problems
• Experience working with data-heavy systems, pipelines, and complex integrations
• Familiarity with machine learning systems, including model training, deployment, and production use
• Strong judgment around correctness, reliability, and operational risk

Qualifications

• 6+ years of experience in software engineering

Nice to Have

• Experience in fintech, fraud, risk, or compliance domains
• Experience with Elixir, Python, Postgres, and cloud data infrastructure
• Experience working on machine learning or AI-powered systems
• Experience working at a rapidly scaling company
• Interest in Bitcoin

Skills

* Required skills

Benefits