Machine Learning Engineer (Fintech)

Location: Cary, North Carolina, United States; hybrid work opportunities are available.

Company

hirify.global provides digital banking and lending solutions for banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

What you will do

• Research emerging fraud and abuse patterns and translate findings into detection approaches.
• Build machine learning products for identity, behavior, and transaction fraud in collaboration with customers, data scientists, and engineers.
• Build and optimize low-latency, real-time machine learning infrastructure for reliability, scalability, and performance.
• Develop pipelines and systems for model training, evaluation, inference, deployment, and monitoring.
• Write clean, maintainable, and well-tested production code using current AI-assisted development tools.
• Monitor and troubleshoot production machine learning systems, data pipelines, and model performance.

Requirements

• Bachelor’s degree in a related field and 2+ years of relevant experience.
• Experience developing and deploying machine learning models.
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
• Proficiency in Python, R, or Java, with experience using TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms and scalable computing resources.
• Fluent written and oral English communication and authorization to work for any employer in the U.S. are required; visa sponsorship is not available.

Nice to have

• Experience applying machine learning to fraud detection, risk modeling, or a related domain.
• Experience building end-to-end machine learning systems, APIs, backend services, or distributed systems.
• Experience with large datasets or data processing frameworks.
• Comfort using AI-assisted development tools such as Claude Code or Copilot.

Culture & Benefits

• Hybrid work opportunities and flexible time off.
• Career development and mentoring programs.
• Health insurance and wellness benefits, including paid parental leave for eligible new parents.
• Community volunteering, company philanthropy, and employee peer recognition programs.
• Supportive and inclusive environment focused on collaboration, career growth, and well-being.