Senior/Staff Machine Learning Engineer

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Staff Plus From the posting source checked Jun 20, 2026

Work mode

Remote From the posting source checked Jun 20, 2026

In-office days

0 days From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Company stage

Growth-stage From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior/Staff Machine Learning Engineer Remote Americas + Europe 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 Senior/Staff Machine Learning Engineer to build and own machine learning-driven systems that power automation and decision-making across onboarding, risk, compliance, and operations. You will apply ML and LLMs in production to solve real-world problems. Our core stack includes XGBoost, PyTorch, Python, MLflow, Postgres, and BigQuery. 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 https://river.com/financials and proof of reserves https://river.com/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, build, and iterate on machine learning models and LLM-based systems that power critical decisions across fraud, compliance, growth, and operations - Work with messy, real-world data to identify signals, build features, and continuously improve model performance - Make 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

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