Machine Learning Engineer (AI)

Location: Austin, TX; hybrid work opportunities. Applicants must be authorized to work for any employer in the U.S.

Company

Provides digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally.

What you will do

• Design and implement machine learning algorithms and models for business applications.
• Conduct research and experimentation to advance machine learning capabilities.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Analyze large datasets to extract insights and support data-driven decisions.
• Develop scalable machine learning pipelines and systems.
• Test and validate AI systems to ensure quality and performance while keeping current with emerging AI and machine learning trends.

Requirements

• Bachelor’s degree in a related field and 2–5 years of relevant experience.
• Proven experience developing and deploying machine learning models and algorithms.
• Strong knowledge of statistics, optimization, probability theory, and experimental methodologies.
• Proficiency in Python, R, or Java.
• Experience with TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms and scalable computing resources.
• Strong analytical, problem-solving, and collaboration skills.
• Fluent written and oral communication in English.
• Authorization to work for any employer in the U.S. is required; employment visa sponsorship or transfer is not available.

Culture & Benefits

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