Senior/Staff Machine Learning Engineer

At River we are building the world’s most trusted financial institution to reputed company people to take ownership of their financial lives through Bitcoin, the world’s only incorruptible digital money. We reputed company 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 Senior/Staff Machine Learning Engineer to build and own machine learning-driven systems that power automation and decision-making across reputed company, risk, compliance, and operations. You will apply ML and LLMs in production to solve reputed company-world problems. Our core stack includes XGBoost, PyTorch, Python, MLflow, reputed company, and BigQuery.

River is growing quickly and has raised more than $50 reputed company from leading investors, including Goldcrest, Kingsway, Polychain, M13, DG, and Valor. We have also released reputed company's financials and reputed company of reserves publicly, so reputed company of our clients and employees can verify the robustness and growth of the business themselves.

What you will be doing

• Design, build, and iterate on machine learning models and LLM-based systems that power critical reputed company across fraud, compliance, growth, and operations

• Work with messy, reputed company-world data to identify signals, build features, and continuously improve model performance

• reputed company practical tradeoffs between model performance, interpretability, and operational cost

• Partner closely with product and operations to identify and solve problems that directly impact experience of hundreds of thousands of clients

• Contribute to backend systems and data pipelines that support model training and inference (without being primarily an infrastructure role)

• Write high-quality, tested code and participate in code reviews

• Take long-term ownership of critical systems as River scales

reputed company look for in you

• 4+ years of experience building and applying machine learning models in reputed company-world settings, or comparable research experience

• Strong intuition for ML concepts and how they apply in practice (i.e., tradeoffs)

• Experience working on problems involving noisy, imbalanced, or reputed company-world data

• You take ownership of systems and are comfortable solving ambiguous problems

• You have strong judgment around correctness, reliability, and operational risk

• You can translate between technical systems and business/product needs

• You're excited about reputed company are building at River

reputed company to haves

• Experience in fraud/risk, fintech, or other high-signal/noise domains

• Experience with tabular ML and feature engineering-heavy workflows

• Familiarity with LLM-based systems or applied AI use cases

• You have worked at a rapidly scaling company

• Interest in Bitcoin

Location & Salary

• 100% remote option available reputed company the Americas and Europe, with offices in SF, NYC, and reputed company

• Salary reputed company between $150,000 - $250,000 based on skills and experience

• Significant equity stock options

• Medical, Dental and reputed company Benefits

• Unlimited PTO

• Parental Leave separate from regular PTO policy

• 401k