Machine Learning Engineer

Q2 • Austin, TX

2d • Hybrid

About The Position

Q2 is a leading provider of digital banking and lending solutions. The company's mission is to build strong and diverse communities through innovative financial technology by empowering its people to help create success for customers. Q2 celebrates employees through awards, invests in their growth with learning opportunities, mentorship, and internal mobility, and fosters collaboration through events like Dodgeball for Charity. The Machine Learning Engineer provides hands-on expertise in designing, implementing, and scaling AI solutions, collaborating with cross-functional teams to advance machine learning capabilities and support business innovation. Q2's mission, established in 2004, is to build strong and diverse communities by strengthening their financial institutions. Their vision is to create meaningful financial experiences through data-driven insights, open technology, and design thinking (FinX philosophy), guided by Ten Guiding Principles.

Requirements

• 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
• Strong analytical, problem-solving, and collaboration skills
• Fluent written and oral communication in English
• Applicants must be authorized to work for any employer in the U.S.

Responsibilities

• Design and implement machine learning algorithms and models for various 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 meaningful insights and support data-driven decisions
• Develop scalable machine learning pipelines and systems
• Maintain up-to-date knowledge of emerging AI and machine learning trends
• Ensure the quality and performance of AI systems through testing and validation

Benefits

• Hybrid Work Opportunities
• Flexible Time Off
• Career Development & Mentoring Programs
• Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents
• Community Volunteering & Company Philanthropy Programs
• Employee Peer Recognition Programs – “You Earned it”
• Resources for physical, mental, and professional well-being
• Volunteer work and nonprofit support through our Spark Program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees