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AI / Machine Learning Engineer – Credit Intelligence Platform

Credit Genius

Remote · US Full-time $110k – $150k/yr 1w ago

About the role

Overview

Join Credit Genius, an AI-driven fintech platform transforming how consumers understand, build, and optimize their credit.

We are building a credit intelligence engine that goes beyond traditional scoring — combining behavioral data, machine learning, and real-time insights to help users make smarter financial decisions.

As an AI / Machine Learning Engineer, you will play a key role in developing systems that power:

  • Intelligent credit recommendations
  • Financial behavior modeling
  • Scalable decision engines used by thousands of users (and growing rapidly)

This is an opportunity to work on high-impact, real-world financial data problems inside a fast-growing platform positioned at the intersection of AI and consumer finance.

What You’ll Work On

  • Build and deploy machine learning models that improve credit optimization, risk insights, and user recommendations
  • Develop systems that analyze financial behavior patterns to drive personalized guidance
  • Design scalable pipelines for real-time and batch data processing
  • Collaborate with product and engineering to integrate AI directly into the user experience
  • Continuously improve model performance through testing, iteration, and data refinement
  • Help shape the long-term vision of our AI-powered credit intelligence platform

What You Bring

  • Strong experience with Python and machine learning frameworks (TensorFlow, PyTorch, or similar)
  • Solid understanding of data modeling, feature engineering, and model evaluation
  • Experience working with cloud environments (AWS, GCP, or similar)
  • Ability to work with large datasets and build scalable solutions
  • Strong problem-solving mindset and ability to translate data into real-world impact

Bonus

  • Experience in fintech, credit systems, or financial data
  • Familiarity with behavioral modeling or recommendation systems

Why Credit Genius

  • Work on a product already used by thousands of users, with aggressive growth plans
  • Be part of a team building a next-generation AI financial platform
  • Direct impact on product, users, and company trajectory
  • Fast-moving environment with real ownership

Why This Version Wins

For candidates:

  • Feels like impact + ownership
  • Not just a job… a build opportunity

For investors lurking:

  • “Credit intelligence engine” →
  • “Behavioral modeling” →
  • “Scaling platform” →

Compensation & Benefits

  • Competitive salary + potential equity
  • Flexible, remote-friendly work environment
  • Opportunity to grow with a scaling fintech company

Pay

  • $110,000.00 - $150,000.00 per year

Benefits

  • Flexible schedule
  • Health insurance
  • Paid time off

Work Location

  • Remote

Requirements

  • Strong experience with Python and machine learning frameworks (TensorFlow, PyTorch, or similar)
  • Solid understanding of data modeling, feature engineering, and model evaluation
  • Experience working with cloud environments (AWS, GCP, or similar)
  • Ability to work with large datasets and build scalable solutions
  • Strong problem-solving mindset and ability to translate data into real-world impact

Responsibilities

  • Build and deploy machine learning models that improve credit optimization, risk insights, and user recommendations
  • Develop systems that analyze financial behavior patterns to drive personalized guidance
  • Design scalable pipelines for real-time and batch data processing
  • Collaborate with product and engineering to integrate AI directly into the user experience
  • Continuously improve model performance through testing, iteration, and data refinement
  • Help shape the long-term vision of our AI-powered credit intelligence platform

Benefits

flexible schedulehealth insurancepaid time off

Skills

AWSGCPPythonPyTorchTensorFlow

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