CG
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
Don't send a generic resume
Paste this job description into Mimi and get a resume tailored to exactly what the hiring team is looking for.
Get started free