River Financial

Staff Software Engineer, Machine Learning, Full-stack

River Financial

full-time

Posted on:

Location Type: Remote

Location: Anywhere in North America

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Salary

💰 $200,000 - $250,000 per year

Job Level

Tech Stack

About the role

  • Design, build, and own Elixir 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
  • 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 where appropriate
  • 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
  • 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.
Benefits
  • Significant equity stock options
  • Medical, Dental and Vision Benefits
  • Unlimited PTO
  • Parental Leave separate from regular PTO policy
  • 401k
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Elixirdata pipelinesmachine learninganalytics infrastructureproduction systemscode qualitycode reviewssystem reliabilitycomplex integrationsmodel deployment
Soft Skills
ownershipproblem-solvingjudgmentcollaborationcommunication