Machine Learning Engineer (Fintech)

TL;DR

Machine Learning Engineer (Fintech): Design and implement machine learning algorithms and models for digital banking applications with an accent on scalability, production integration, and data-driven insights. Focus on researching emerging ML trends, developing pipelines, and validating system performance.

Location: Austin, TX (Hybrid). Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa.

Company

Leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs.

What you will do

• Design and implement machine learning algorithms and models for business applications
• Conduct research and experimentation to advance ML capabilities
• Collaborate with cross-functional teams to integrate AI solutions into production
• Analyze large datasets to extract insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Ensure quality and performance of AI systems through testing and validation

Requirements

• Fluent written and oral communication in English
• Bachelor’s degree in related field and 5–8 years relevant experience
• Proven experience in ML model development and deployment
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies
• Proficiency in programming languages such as Python, R, or Java
• Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn)
• Familiarity with cloud platforms and scalable computing resources

Culture & Benefits

• Hybrid work opportunities
• Flexible time off
• Career development and mentoring programs
• Health and wellness benefits, including competitive health insurance and paid parental leave
• Community volunteering and company philanthropy programs
• Employee peer recognition programs