Staff Software Engineer (ML/AI, Full-stack)
$200k - $250k USD
At River we are building the world’s most trusted financial institution to empower people to take ownership of their financial lives through Bitcoin, the world’s only incorruptible digital money. We believe in a future where every person will have bitcoin savings, and every business will have bitcoin on the balance sheet. We obsessively design and build delightful products that help our clients buy, sell, secure, and use Bitcoin.
We are looking for a Staff Software Engineer to build and own data-heavy backend systems that power automation and decision-making across onboarding, risk, compliance, and operations. The work involves building systems that leverage AI/ML in production. Our core stack includes XGBoost, PyTorch, Python, Elixir, and Postgres.
River is growing quickly and has raised more than $50 million from leading investors, including Goldcrest, Kingsway, Polychain, M13, DG, and Valor. We have also released our company's financials and proof of reserves publicly, so all of our clients and employees can verify the robustness and growth of the business themselves.
What you will be doing
Design, train, and productionize machine learning models and LLM-based systems
Build and maintain training and inference infrastructure for machine learning models
Design, build, and own 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
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
Nice to haves
Experience in fintech, fraud, risk, or compliance domains
You have worked with Elixir, Python, Postgres, and cloud data infrastructure
You have worked on machine learning or AI-powered systems
You have worked at a rapidly scaling company
Interest in Bitcoin
Location & Salary
100% remote option available within the Americas and Europe, with offices in SF, NYC, and Columbus
Salary range between $200,000 - $250,000 based on skills and experience (Note: this salary will not be location adjusted, the salary range is the same globally.)
Significant equity stock options
Medical, Dental and Vision Benefits
Unlimited PTO
Parental Leave separate from regular PTO policy
401k