Hacker Careers logo
Company Logo for River

River is hiring a
Senior Machine Learning Engineer

About River

River is a client-focused Bitcoin financial institution committed to empowering the long term investor. We focus on providing industry-leading security, robust financial services, and a world-class client experience to individuals and businesses looking to invest in Bitcoin.

Job Description

River is hiring Senior/Staff Machine Learning Engineer. This full-time role can be remote or in our SF/NYC regions. Salary: $200,000-$250,000. You will scale ML/AI systems to automate operations and tackle fraud/risk, working with Python, PyTorch, XGBoost, and LLMs. The role supports realtime fraud detection, risk assessment, and operational automation for a Bitcoin-focused financial platform, integrating ML into our existing Python/ML stack and collaborating with the Elixir/Go/GraphQL backend teams.

Remote

Remote Conditions

Remote in US, Europe, or South America are allowed

Salary

200K

Β toΒ 

250K

Benefits

equity

Tech Tags

Equity Offered

Senior Role

Date Listed

01 May, 2026 (6 days ago)
Loading...

Share this job

River has 5 other jobs listed

Hiring engineers?

Reach thousands of tech candidates from the Hacker News community.

Post a Job β€” $99

Similar Jobs

No tags
πŸ“ SF / NYC / Remote
96% match
No tags
πŸ“ SF / NYC / Remote
93% match
No tags
πŸ“ SF / NYC / Remote
93% match
No tags
πŸ“ Remote
93% match
No tags
πŸ“ Remote
91% match
No tags
πŸ“ Austin, TX; London, UK; San Francisco, CA
87% match
No tags
πŸ“ Austin, TX; London, UK; San Francisco, CA
87% match
No tags
πŸ“ Remote
86% match
No tags
πŸ“ McLean, Virginia
86% match
No tags
πŸ“ Hybrid (Amsterdam, Berlin, Munich, Eindhoven, Ghent)
86% match
No tags
πŸ“ Remote (multiple cities)
86% match
No tags
πŸ“ New York, NY; Remote
86% match
No tags
πŸ“ New York, NY
86% match
No tags
πŸ“ Amsterdam; Berlin; Munich; Eindhoven; Ghent
86% match
No tags
πŸ“ San Francisco, CA; New York, NY; Washington, DC
85% match
No tags
πŸ“ New York City, NY
85% match

We use cookies

We use cookies to ensure you get the best experience on our website. For more information on how we use cookies, please see our cookie policy.

By clicking β€œAccept”, you agree to our use of cookies.
Learn more.